{ "count" : 30393, "data" : [ { "id" : "6a2ac0ee74d8ee00a06f2a1b", "title" : "Analyst, Non-US Advanced Analytics & Decision Intelligence", "company" : "Bristol Myers Squibb", "salary" : { "min" : 1200000.0, "max" : 1800000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Analyst in the Pharma industry in India, adjusted for company size and location." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-15T00:03:11.420", "fingerprint" : "d447416001d1b4f4fe72d0a35b60d5f1b976732cf275a2e5550e08dfdb52c003", "source" : "workday", "language" : "en", "applyUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Hyderabad---TS---IN/Analyst--Non-US-Advanced-Analytics---Decision-Intelligence_R1602754", "externalId" : "R1602754", "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, R, R Shiny, Dash, Tableau, Power BI, Databricks, Git", "professionalSkills" : [ "Decision science", "AI/ML techniques", "Commercial initiatives", "Brand strategy", "Omnichannel engagement", "Resource allocation", "Analytical outputs", "Performance metrics", "Test-and-learn initiatives", "Data validation", "Data quality checks" ], "hardSkillsList" : [ "Quantitative analyses", "Data analysis", "Basic modelling", "Data visualization", "Reporting tools", "Statistical concepts", "Machine learning techniques", "Omnichannel data" ], "softSkillsList" : [ "Curiosity", "Initiative" ], "hardSkills" : [ { "name" : "Quantitative analyses", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Basic modelling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Reporting tools", "level" : "intermediate" }, { "name" : "Statistical concepts", "level" : "intermediate" }, { "name" : "Machine learning techniques", "level" : "intermediate" }, { "name" : "Omnichannel data", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" }, { "name" : "Initiative" } ], "majorSkills" : "Advanced Analytics, Decision Intelligence, AI/ML, Commercial Analytics", "majorSkillsList" : [ "Advanced Analytics", "Decision Intelligence", "AI/ML", "Commercial Analytics" ], "coreResponsibilities" : "Support development of analytical solutions, Support delivery of analytical solutions, Apply foundational analytics, Apply decision science, Apply AI/ML techniques, Translate business questions into analytical tasks, Execute analyses, Summarize findings, Ensure accuracy in deliverables, Ensure quality in deliverables, Ensure adherence to best practices, Collaborate with stakeholders, Understand business context, Understand analytical requirements, Support preparation of analytical outputs, Support preparation of presentations, Support preparation of dashboards, Communicate results, Communicate assumptions, Communicate limitations, Incorporate stakeholder feedback, Refine analyses, Refine outputs, Execute analytics supporting promotion channels, Support development of performance metrics, Support tracking of performance metrics, Assist in test-and-learn initiatives, Assist in A/B tests, Assist in quasi-experimental analyses, Identify trends in data, Identify anomalies in data, Identify opportunities in data, Escalate insights to senior team members, Work collaboratively within project teams, Contribute to shared goals, Contribute to timelines, Learn standard analytical frameworks, Adopt standard analytical frameworks, Learn tools, Adopt tools, Learn coding best practices, Adopt coding best practices, Participate in knowledge-sharing sessions, Participate in training programs, Build datasets, Maintain datasets, Build basic models, Maintain basic models, Build dashboards, Maintain dashboards, Build recurring reports, Maintain recurring reports, Perform data validation, Perform quality checks, Document analytical processes, Work with data engineering teams, Work with BIT teams, Understand data structures, Resolve data issues, Follow governance standards, Follow compliance standards, Follow documentation standards", "teamCollaboration" : "Project teams; Cross-functional teams", "domainKnowledge" : "Commercial data sources; Digital marketing; Omnichannel", "domainList" : [ "commercial-data-sources", "digital-marketing", "omnichannel" ], "domainSpecificKnowledge" : [ "Commercial data sources", "Digital marketing", "Omnichannel" ], "toolProficiency" : [ "R Shiny", "Dash", "Tableau", "Power BI", "Databricks", "Git" ], "communicationSkills" : "Explain analyses", "documentationSkills" : "Documentation standards", "continuousLearning" : "Knowledge-sharing sessions; Training programs", "problemSolvingSkills" : "Basic problem-solving skills; Structured thinking", "qualificationsBasic" : "1–3 years of professional experience, Experience with structured datasets, Perform quantitative analyses", "qualificationsPreferred" : "BAS degrees in life sciences, BAS degrees in computer science, BAS degrees in mathematics, BAS degrees in statistics, BAS degrees in data science, BAS degrees in engineering, Exposure to commercial analytics, Exposure to marketing analytics, Exposure to healthcare analytics, Exposure to pharmaceutical analytics", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). **Analytics Delivery & AI Enablement** * Support the development and delivery of analytical solutions under the guidance of senior analysts and team leads. * Apply foundational analytics, decision science, and AI/ML techniques to support Ex-US Commercial initiatives across brand strategy, omnichannel engagement, and resource allocation. * Translate well-defined business questions into analytical tasks, execute analyses, and summarize findings. * Ensure accuracy, quality, and adherence to analytical best practices in all deliverables. **Stakeholder Support & Business Understanding** * Collaborate with Ex-US Commercial stakeholders, Global Analytics, OCx, Marketing, and BIT to understand business context and analytical requirements. * Support preparation of analytical outputs, presentations, and dashboards for stakeholder discussions. * Clearly communicate results, assumptions, and limitations with guidance from senior team members. * Incorporate stakeholder feedback to refine analyses and outputs. **Omnichannel & Commercial Analytics** * Execute analytics supporting personal and non-personal promotion channels, including field force, email, web, paid media, social, and third-party platforms. * Support development and tracking of performance metrics related to reach, engagement, and effectiveness. * Assist in test-and-learn initiatives, A/B tests, and basic quasi-experimental analyses. * Identify trends, anomalies, and opportunities in data and escalate insights to senior team members. **Team Collaboration & Learning** * Work collaboratively within project teams, contributing to shared goals and timelines. * Learn and adopt standard analytical frameworks, tools, and coding best practices used by the team. * Participate in knowledge-sharing sessions and training programs. * Demonstrate curiosity and initiative in developing analytical and business skills. **Technical Execution & Data Handling** * Build and maintain datasets, basic models, dashboards, and recurring reports. * Perform data validation, quality checks, and documentation of analytical processes. * Work with data engineering and BIT teams to understand data structures and resolve data issues. * Follow established governance, compliance, and documentation standards. **Skills & Competencies** * Strong analytical mindset with attention to detail and data quality. * Good written and verbal communication skills, with the ability to explain analyses in simple terms. * Ability to manage assigned tasks effectively and meet deadlines. * Willingness to learn new tools, techniques, and business concepts. * Collaborative and proactive team player with a positive attitude. * Basic problem-solving skills and ability to apply structured thinking. **Experience & Qualifications** * BA/BS required; degrees in life sciences, computer science, mathematics, statistics, data science, or engineering preferred. * 1–3 years of professional experience in analytics, data analysis, decision science, or related roles. * Experience working with structured datasets and performing quantitative analyses. * Exposure to commercial analytics, marketing analytics, or healthcare/pharmaceutical analytics is a plus. * Interest in applying data, analytics, and AI to solve real-world business problems. **Technical Skills (Preferred)** * Hands-on experience with Python and/or R for data analysis and basic modelling. * Familiarity with statistical concepts and introductory machine learning techniques. * Experience with data visualization and reporting tools (e.g., R Shiny, Dash, Tableau, Power BI, or similar). * Exposure to collaborative analytics environments (e.g., Databricks, Git, SharePoint). * Basic understanding of omnichannel, digital marketing, or commercial data sources. _If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career._ **Uniquely Interesting Work, Life-changing Careers** With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. **On-site Protocol** BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. **Supporting People with Disabilities** BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [adastaffingsupport@bms.com](mailto:adastaffingsupport@bms.com). Visit [careers.bms.com/](https://careers.bms.com/eeo-accessibility)[eeo](https://careers.bms.com/eeo-accessibility)[-accessibility](https://careers.bms.com/eeo-accessibility) to access our complete Equal Employment Opportunity statement. **Candidate Rights** BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: [https://careers.bms.com/california-residents/](https://careers.bms.com/california-residents/) **Data Protection** We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at [https://careers.bms.com/fraud-protection](http://careers.bms.com/fraud-protection). Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [TAEnablement@bms.com](mailto:TAEnablement@bms.com). Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1602754 : Analyst, Non-US Advanced Analytics & Decision Intelligence", "summaryDescription" : "Analyst, Non-US Advanced Analytics & Decision Intelligence at Bristol Myers Squibb. Skills: Advanced Analytics, Decision Intelligence, AI/ML, Commercial Analytics. Support development of analytical solutions. Support delivery of analytical solutions", "postedDate" : "2026-06-06T04:50:40.137", "createdAt" : "2026-06-12T04:50:40.123", "lastUpdated" : "2026-06-15T00:03:11.420", "ingestTimestamp" : "2026-06-12T04:50:40.123", "mongoId" : "6a2ac0ee74d8ee00a06f2a1b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Hyderabad---TS---IN/Analyst--Non-US-Advanced-Analytics---Decision-Intelligence_R1602754", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analyses", "Data analysis", "Basic modelling", "Data visualization", "Reporting tools", "Statistical concepts", "Machine learning techniques", "Omnichannel data", "Curiosity", "Initiative", "Advanced Analytics", "Decision Intelligence", "AI/ML", "Commercial Analytics", "Decision science", "AI/ML techniques", "Commercial initiatives", "Brand strategy", "Omnichannel engagement", "Resource allocation", "Analytical outputs", "Performance metrics", "Test-and-learn initiatives", "Data validation", "Data quality checks", "Commercial data sources", "Digital marketing", "Omnichannel", "R Shiny", "Dash", "Tableau", "Power BI", "Databricks", "Git" ], "skillCount" : 34, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 1391.1616, "daysOld" : 8, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2ac0ec74d8ee00a06f2978", "title" : "Associate Manager, US Commercialization Decision Intelligence & KDA Solutions", "company" : "Bristol Myers Squibb", "salary" : { "min" : 2750000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Pharma industry in India, adjusted for Manager seniority and large company size." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-14T23:29:06.234", "fingerprint" : "49b0dfa791fa46b050051ef462b1cade9f548f14438bf709ad697a5e59462d5f", "source" : "workday", "language" : "en", "applyUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Hyderabad---TS---IN/Associate-Manager--US-Commercialization-Decision-Intelligence---KDA-Solutions_R1603092", "externalId" : "R1603092", "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Python, AI/ML, Text analytics, NLP, Clustering, Propensity models, Uplift models, LLM applications, R Shiny, Dash, Databricks, Git", "professionalSkills" : [ "Decision science", "AI/ML solutions", "Brand strategy", "Omnichannel engagement", "Resource allocation", "Problem framing", "Methodological design", "Insight generation", "Business recommendations", "Analytical rigor", "Scalability", "Reusability", "Team processes", "Team standards", "Stakeholder partnership", "Strategic support", "Business questions", "Analytically tractable problems", "Solution direction", "Strategic thought partner", "Decision framing", "Scenario evaluation", "Trade-offs", "Implications", "Stakeholder demand", "Commercial objectives", "Enterprise objectives", "Strategic discussions", "Decision forums", "Omnichannel strategies", "Personal promotion", "Non-personal promotion", "Field force", "Email marketing", "Web marketing", "Paid media", "Social media", "Third-party platforms", "Measurement frameworks", "Reach measurement", "Engagement measurement", "Quality engagement", "Effectiveness measurement", "ROI measurement", "Experimental design", "Test-and-learn initiatives", "Quasi-experimental methodologies", "Campaign performance", "Content performance", "Channel performance", "Analytical findings", "Actionable recommendations", "Commercial investments", "Commercial execution", "Team leadership", "Capability building", "Performance feedback", "Coaching", "Career development", "Technical guidance", "Analytical guidance", "Quality delivery", "Consistent delivery", "Team collaboration", "Team innovation", "Team accountability", "Continuous learning", "Workload planning", "Resourcing", "Prioritization", "Sustainable delivery", "Team engagement", "Technical oversight", "Governance", "Technical execution", "Datasets", "Dashboards", "Models", "Business rules", "Automated pipelines", "Data engineering", "Data pipelines", "Analytics reporting", "Analytical outputs", "Reproducibility", "Documentation", "Governance standards", "Validation standards", "Audit standards", "Model lifecycle management", "Model reviews", "Model enhancements", "Model decommissioning" ], "hardSkillsList" : [ "Advanced analytics", "Applied statistics", "AI/ML methodologies", "Predictive analytics", "Statistical analytics", "Data visualization", "Dashboarding" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Advanced analytics", "level" : "intermediate" }, { "name" : "Applied statistics", "level" : "intermediate" }, { "name" : "AI/ML methodologies", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Statistical analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Decision Intelligence, KDA Solutions, AI-enabled analytics, Advanced analytics, Decision science, AI/ML", "majorSkillsList" : [ "Decision Intelligence", "KDA Solutions", "AI-enabled analytics", "Advanced analytics", "Decision science", "AI/ML" ], "coreResponsibilities" : "Partner with senior leaders, Deliver AI-enabled analytical solutions, Lead design of advanced analytics, Lead development of advanced analytics, Lead application of advanced analytics, Support US Commercialization, Own analytical workstreams, Frame problems, Design methodologies, Generate insights, Provide business recommendations, Ensure analytical rigor, Ensure scalability, Ensure reusability, Improve team processes, Improve team standards, Serve as analytics partner, Shape business questions, Influence solution direction, Help stakeholders frame decisions, Help stakeholders evaluate scenarios, Help stakeholders understand trade-offs, Help stakeholders understand implications, Balance competing demands, Prioritize competing demands, Align with commercial objectives, Align with enterprise objectives, Engage with senior stakeholders, Contribute to strategic discussions, Contribute to decision forums, Lead analytics for omnichannel strategies, Define measurement frameworks, Oversee measurement frameworks, Drive experimental design, Drive test-and-learn initiatives, Drive quasi-experimental methodologies, Evaluate campaign performance, Evaluate content performance, Evaluate channel performance, Translate analytical findings, Optimize commercial investments, Optimize commercial execution, Manage a team, Mentor a team, Develop a team, Provide technical guidance, Provide analytical guidance, Ensure high-quality delivery, Ensure consistent delivery, Foster collaboration, Foster innovation, Foster accountability, Foster continuous learning, Lead workload planning, Lead resourcing, Lead prioritization, Oversee technical execution, Partner with BIT, Partner with data engineering, Ensure reliable data pipelines, Ensure scalable data pipelines, Ensure timely data pipelines, Ensure analytical outputs are reproducible, Ensure analytical outputs are well-documented, Ensure compliance with governance standards, Ensure compliance with validation standards, Ensure compliance with audit standards, Support model lifecycle management, Support model reviews, Support model enhancements, Support model decommissioning", "teamCollaboration" : "Senior leaders; US Commercial stakeholders; Global Analytics; OCx; Marketing; BIT; Data engineering teams; Cross-functional teams", "projectManagementSkills" : [ "Project management", "Workload planning", "Resourcing", "Prioritization" ], "domainKnowledge" : "US Commercialization; Brand strategy; Omnichannel engagement; Resource allocation; Pharmaceutical industry; Biotech industry; Healthcare industry; Commercial business problems", "domainList" : [ "us-commercialization", "brand-strategy", "omnichannel-engagement", "resource-allocation", "pharmaceutical-industry", "biotech-industry", "healthcare-industry", "commercial-business-problems" ], "domainSpecificKnowledge" : [ "US Commercialization", "Brand strategy", "Omnichannel engagement", "Resource allocation", "Pharmaceutical industry", "Biotech industry", "Healthcare industry", "Commercial business problems" ], "toolProficiency" : [ "R Shiny", "Dash", "Databricks", "Git" ], "communicationSkills" : "Written communication; Verbal communication; Business insights; Strategic discussions; Decision forums", "documentationSkills" : "Documentation", "continuousLearning" : "Continuous learning", "innovationCreativity" : "AI-led innovation; Innovation", "problemSolvingSkills" : "Problem-solving; Analytical problem-solving; Synthesizing insights", "qualificationsBasic" : "5–7 years professional experience, Advanced analytics experience, Decision science experience, AI-driven roles experience, Led analytics projects, Managed technical teams, Mentored technical teams, Partnered with senior stakeholders, Articulated value propositions, Challenged assumptions, Managed competing demands", "qualificationsPreferred" : "Advanced degree preferred, Life sciences degree preferred, Computer science degree preferred, Mathematics degree preferred, Statistics degree preferred, Data science degree preferred, Engineering degree preferred, Pharmaceutical industry experience, Biotech industry experience, Healthcare industry experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "**Working with Us** Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: [careers.bms.com/working-with-us](https://careers.bms.com/working-with-us). **Roles & Responsibilities** **Analytics Delivery & AI Enablement** * Partner with senior leaders to deliver high-impact, AI-enabled analytical solutions within agreed timelines, budgets, and quality standards. * Lead the design, development, and application of advanced analytics, decision science, and AI/ML solutions supporting US Commercialization across brand strategy, omnichannel engagement, and resource allocation. * Own analytical workstreams end-to-end, from problem framing and methodological design to insight generation and business recommendations. * Ensure analytical rigor, scalability, and reusability of solutions while continuously improving team processes and standards. **Stakeholder Partnership & Strategic Support** * Serve as a primary analytics partner to US Commercial stakeholders, Global Analytics, OCx, Marketing, and BIT. * Proactively shape business questions into analytically tractable problems and influence solution direction. * Act as a strategic thought partner by helping stakeholders frame decisions, evaluate scenarios, and understand trade-offs and implications. * Balance and prioritize competing stakeholder demand to ensure alignment with broader commercial and enterprise objectives. * Confidently engage with senior stakeholders, contributing to strategic discussions and decision forums. **Omnichannel & Commercial Insights** * Lead analytics supporting omnichannel strategies across personal and non-personal promotion, including field force, email, web, paid media, social, and third-party platforms. * Define and oversee measurement frameworks for reach, engagement, quality engagement, effectiveness, and ROI. * Drive experimental design, test-and-learn initiatives, and quasi-experimental methodologies to evaluate campaign, content, and channel performance. * Translate analytical findings into actionable recommendations to optimize commercial investments and execution. **Team Leadership & Capability Building** * Manage, mentor, and develop a team of analysts and senior analysts, including performance feedback, coaching, and career development. * Provide technical and analytical guidance to ensure high-quality, consistent delivery across the team. * Foster a culture of collaboration, innovation, accountability, and continuous learning. * Lead workload planning, resourcing, and prioritization to support sustainable delivery and strong team engagement. **Technical Oversight & Governance** * Oversee technical execution across the team, including datasets, dashboards, models, business rules, documentation, and automated pipelines. * Partner with BIT and data engineering teams to ensure reliable, scalable, and timely data pipelines for analytics and reporting. * Ensure analytical outputs are reproducible, well-documented, and compliant with governance, validation, and audit standards. * Support model lifecycle management, including reviews, enhancements, and decommissioning as needed. **Skills & Competencies** * Excellent written and verbal communication skills, with the ability to translate complex analytics into clear, compelling business insights. * Strong stakeholder management and influencing skills, including experience working with senior leaders. * Proven project and people management skills, with the ability to manage multiple priorities in a fast-paced, matrixed environment. * Strong analytical and strategic problem-solving capabilities, synthesizing insights from multiple data sources. * Deep understanding of advanced analytics applied statistics, and AI/ML methodologies. * Leadership mindset with the ability to drive collaboration, accountability, and results. * Passion for AI-led innovation, analytics maturity, and continuous improvement. **Experience & Qualifications** * BA/BS required; advanced degree preferred, particularly in life sciences, computer science, mathematics, statistics, data science, or engineering. * 5–7 years of professional experience, including significant experience in advanced analytics, decision science, and/or AI-driven roles. * Demonstrated experience leading analytics projects and managing or mentoring technical teams in a global enterprise environment. * Proven success partnering with senior stakeholders, articulating value propositions, challenging assumptions, and managing competing demands. * Pharmaceutical, biotech, or healthcare industry experience strongly preferred. * Strong understanding of how data, analytics, and AI can be applied to solve complex commercial business problems. **Technical Skills (Preferred)** * Advanced predictive and statistical analytics using Python and/or R; strong exposure to AI/ML and text analytics (e.g., NLP, clustering, propensity, uplift models, LLM applications). * Data visualization and dashboarding tools (e.g., R Shiny, Dash, or similar platforms). * Experience working in collaborative analytics environments (e.g., Databricks, Git-based workflows, SharePoint). * Strong familiarity with omnichannel, digital marketing, and commercial data sources. _If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career._ **Uniquely Interesting Work, Life-changing Careers** With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. **On-site Protocol** BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. **Supporting People with Disabilities** BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to [adastaffingsupport@bms.com](mailto:adastaffingsupport@bms.com). Visit [careers.bms.com/](https://careers.bms.com/eeo-accessibility)[eeo](https://careers.bms.com/eeo-accessibility)[-accessibility](https://careers.bms.com/eeo-accessibility) to access our complete Equal Employment Opportunity statement. **Candidate Rights** BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: [https://careers.bms.com/california-residents/](https://careers.bms.com/california-residents/) **Data Protection** We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at [https://careers.bms.com/fraud-protection](http://careers.bms.com/fraud-protection). Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. If you believe that the job posting is missing information required by local law or incorrect in any way, please contact BMS at [TAEnablement@bms.com](mailto:TAEnablement@bms.com). Please provide the Job Title and Requisition number so we can review. Communications related to your application should not be sent to this email and you will not receive a response. Inquiries related to the status of your application should be directed to Chat with Ripley. R1603092 : Associate Manager, US Commercialization Decision Intelligence & KDA Solutions", "summaryDescription" : "Associate Manager, US Commercialization Decision Intelligence & KDA Solutions at Bristol Myers Squibb. Skills: Decision Intelligence, KDA Solutions, AI-enabled analytics, Advanced analytics, Decision science, AI/ML. Partner with senior leaders. Deliver AI-enabled analytical solutions", "postedDate" : "2026-06-11T03:25:21.682", "createdAt" : "2026-06-12T03:25:21.663", "lastUpdated" : "2026-06-14T23:29:06.234", "ingestTimestamp" : "2026-06-12T03:25:21.663", "mongoId" : "6a2ac0ec74d8ee00a06f2978", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Hyderabad---TS---IN/Associate-Manager--US-Commercialization-Decision-Intelligence---KDA-Solutions_R1603092", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Advanced analytics", "Applied statistics", "AI/ML methodologies", "Predictive analytics", "Statistical analytics", "Data visualization", "Dashboarding", "Leadership", "Mentoring", "Decision Intelligence", "KDA Solutions", "AI-enabled analytics", "Decision science", "AI/ML", "AI/ML solutions", "Brand strategy", "Omnichannel engagement", "Resource allocation", "Problem framing", "Methodological design", "Insight generation", "Business 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stakeholders, Develop and implement A/B tests", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Stakeholders", "domainKnowledge" : "Product analytics; Data science; Data engineering; Machine learning; Business intelligence; Cloud data platforms; Statistical modeling", "domainList" : [ "product-analytics", "data-science", "data-engineering", "machine-learning", "business-intelligence", "cloud-data-platforms", "statistical-modeling" ], "domainSpecificKnowledge" : [ "Product analytics", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Cloud data platforms", "Statistical modeling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Stakeholder communication; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Drive data-informed product decisions; Identify key product metrics", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance. This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next. The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations. You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives. What You'll Do Product Analytics Ownership • Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making. • Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization. • Define success metrics and measurement plans for product launches, features, and strategic initiatives. • Develop and refine KPIs and measurement frameworks that align teams around product and business performance. • Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis. • Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives. • Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation. Analytics Execution & Insight Generation • Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes. • Translate complex business questions into actionable insights and recommendations. • Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact. • Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis. • Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization. Stakeholder Partnership & Data Storytelling • Act as a trusted analytics partner to Product, Engineering, and Leadership teams. • Present analytical findings and recommendations through clear narratives and effective visualizations. • Influence prioritization and strategic decisions through evidence-based insights. • Communicate complex analytical concepts to both technical and non-technical audiences. Analytics Excellence & Innovation • Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility. • Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency. • Contribute to scalable analytics best practices, governance, and continuous improvement across the organization. About You • You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data. • You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions. • You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges. • You can move seamlessly between technical analysis, stakeholder discussions, and executive communication. • You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor. What You Bring • 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations. • Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations. • Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus. • Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders. • Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations. • Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance. • Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences. • Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights. Success in This Role Means • Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance. • Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions. • Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization. • Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes. • Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria. • Product launches, experiments, and strategic initiatives have measurable business impact. • Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights. • ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $112,840—$177,320 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Business Intelligence Analyst – Product Analytics at ZoomInfo Technologies LLC. Skills: Product analytics, Business intelligence, Data science, Data engineering. 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Business partners; Tech audiences; Non-tech audiences", "projectManagementSkills" : [ "High-stake tasks", "Simultaneous projects" ], "domainKnowledge" : "Digital environment", "domainList" : [ "digital-environment" ], "domainSpecificKnowledge" : [ "Digital environment" ], "toolProficiency" : [ "Tableau", "Microstrategy" ], "communicationSkills" : "Oral communication; Written communication; Executive presentations; Manager presentations", "documentationSkills" : "Documents", "problemSolvingSkills" : "Strategic thinking; Insightful analysis", "outcomesObjectives" : "Influence business functions; Guide business functions; Automate business functions; Increase effectiveness; Increase efficiency; Hold accountable; Drive continuous improvement; Track initiative performance; Track business performance; Focus on results; Focus on execution", "qualificationsBasic" : "Analyzing data to drive decisions, 5+ years relevant experience, Degree in technology or mathematics, Developing data-driven products, Sharing business recommendations, Managing challenging assignments, Experience with Python, Experience with R, Experience with SQL, Experience with Tableau, Experience with Microstrategy", "qualificationsPreferred" : "Advanced degree, MBA, MS, PhD, Experience in large B2C companies, Experience working with C-level leaders", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As a leader and individual contributor of Audible’s Analytics and Decision Science group, you will drive discussion and decision with our business partners by explaining, predicting, scenarizing, prescribing insight-driven actions with/for both tech and non-tech audiences. You will deliver the right technical solution (analytics- or data-product) to influence, guide, and force-multiply (via automation) our business functions, increase their effectiveness and efficiency, and hold them accountable. You will help drive continuous improvement by designing and building measurement frameworks, and other communications conduits (presentations and documents) to track initiative and business performance, driving focus on results and execution. You will frame hypotheses and potential decisions into a testable structure and develop robust experimental designs. You will leverage deep cross-functional knowledge to be a trusted advisor across a wide range of issues. Alternate locations available: This position can also be located in Audible's Berlin or London hubs. ABOUT YOU You are able to work with minimal instruction and oversight, conduct multiple high-stake tasks and projects simultaneously, and own deliverables end-to-end with limited dependencies on the work of others. You have the ability to think strategically, develop insightful analysis, and frame decisions, and communicate findings concisely to senior leaders in your and other organizations. As a Director, Analytics and Decision Science, you will... - Design and lead hands-on decision science initiatives that support Audible strategy and programs. Use causal inference methods (experimentation and models) to understand the incremental impact of our activity on business performance - Learn and master the intricacies of our economics, understand pain points and opportunities, and provide solutions short-term and long-term - Develop an in-depth knowledge of all relevant data sources, business intelligence technologies, data science, and analytical tools available to maximize their potential. Ensure and own the accuracy, relevance, quality, and impact of your deliveries - Communicate crisply in both oral and written forms for different levels of audiences (Tech, non-Tech, manager to executive) - Develop compelling presentations and documents ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home. Basic Qualifications: - Experience in analyzing data to drive decisions - 5+ years of relevant experience in the areas of Strategic Analytics, Business Intelligence, Decision Science, or Consulting in a digital environment or in a related field - Degree in technology, mathematics or a related field, speaks of a person who is comfortable in data-centric environments - Experience in developing data-driven products, and sharing business recommendation and their financial/customer impact with the stakeholders - Experience managing challenging assignments with aggressive schedules - Experience with programming languages (such as Python, R, etc.), SQL and visualization tools (Tableau, Microstrategy, etc.) Preferred Qualifications: - Advanced degree, Business (MBA), MS, PhD or equivalent experience - Previous experience in large B2C companies a plus - Experience working with C-level leaders Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NJ, Newark - 175,100.00 - 236,900.00 USD annually", "summaryDescription" : "Director, Analytics and Decision Science at Audible, Inc.. Skills: Analytics, Decision Science, Data Products. Drive discussion and decision. 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With over 50 people, Ibotta’s Analytics team uses the latest developments not only in our core technical capabilities such as statistics, machine learning, testing methodologies, and data engineering, but also in the broader aspects of an analytics organization such as minimizing technical debt, increasing organizational data literacy, and developing analytics leadership, making Ibotta a place where individuals at all levels can learn and grow their careers. As a Senior Decision Scientist, you will be responsible for providing actionable and data-driven recommendations to internal and external stakeholders. You’ll have the opportunity to work alongside talented individuals and understand the business in-depth, support and challenge strategic options, and build state-of-the-art tools to improve our largest line of business. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Leading projects to build causal inference models (A/B testing), automation of existing reports and deliverables, machine learning models, root cause analysis of upstream data issues, and market analysis case studies - Working cross-functionally to analyze large amounts of behavioral and transaction data to provide clients with actionable insights about Ibotta’s users and campaign performance - Communicating complex analyses and data intricacies in a clear, concise manner both internally as well as to external clients - Serving as a leader for the ideation, development, and support on strategic initiatives including statistical modeling and advanced analytics within the team - Mentoring other members of the team - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5+ years of practical work experience in Analytics - Bachelor’s degree in Computer Science, Engineering or a related field - Moderate to advanced knowledge of common data science software development packages (Python, R, etc.) and their relevant libraries, along with strong SQL and proven data wrangling and feature engineering skills - Ability to drive projects end-to-end with minimal guidance/oversight, with examples of high-quality output that provide actionable, business-focused insights and recommendations - Initiative to proactively anticipate and solve important problems - Ability to communicate complex analytical concepts clearly and concisely both in written form and verbally to both technical and non-technical audiences, with a track record of strong partnerships with key stakeholders and clients across multiple functions - 5+ years of practical work experience in Analytics About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks and occasional meals. - Base compensation range: $97,000 - $118,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Senior Decision Scientist, Product Analytics at Ibotta. Skills: Data Science, Machine Learning, Product Analytics, Data Engineering. Develop and implement machine learning models. Design and execute A/B tests", "createdAt" : "2026-06-14T18:13:53.229", "lastUpdated" : "2026-06-15T21:37:27.909", "ingestTimestamp" : "2026-06-14T18:13:53.229", "mongoId" : "6a2c8d6f74d8ee00a0978f92", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 97000, "salaryAnnualMax" : 118000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Statistical modeling", "Machine learning modeling", "Experimentation", "Data Science", "Machine Learning", "Product Analytics", "Data Engineering", "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference", "E-commerce analytics", "Customer behavior analysis", "Product development lifecycle", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 1025.9883, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ae8f374d8ee00a072bcad", "title" : "Senior Data Analyst (AI & Advanced Analytics)", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Bengaluru, India, adjusted for the technology industry and senior experience level." }, "location" : "Bengaluru, KA", "locations" : [ "Bengaluru, KA", "India" ], "timestamp" : "2026-06-14T08:47:33.392", "fingerprint" : "92555383da2575a9aefb67579270311425d0be27762f29780cf30ab6ca00033c", "source" : "workday", "language" : "en", "applyUrl" : "https://freseniusmedicalcare.wd3.myworkdayjobs.com/fme/job/Bengaluru-KA/Senior-Data-Analyst--AI---Advanced-Analytics-_R0254261", "externalId" : "R0254261", "locationPoint" : "12.97194,77.59369", "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, AWS, Azure, Databricks, Snowflake, Power BI, Tableau", "professionalSkills" : [ "Data analysis", "Predictive modeling", "AI applications", "Data governance", "Analytics standards", "Feature analysis", "Data validation", "Model development", "Data pipelines", "Data quality", "Data accessibility", "Experimentation design", "A/B testing", "Insight translation", "Data compliance" ], "hardSkillsList" : [ "Statistical analysis", "Data modeling", "Machine learning", "Predictive analytics", "Data visualization" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data analysis, AI, Advanced analytics, Machine learning", "majorSkillsList" : [ "Data analysis", "AI", "Advanced analytics", "Machine learning" ], "coreResponsibilities" : "Conduct advanced data analysis to identify trends, patterns,, Identify and evaluate relevant data sources, including structured, Perform exploratory data analysis (EDA), feature analysis, and, Develop and maintain dashboards, reports, and performance metrics, Partner with data scientists to support model development,, Collaborate with data engineering teams to improve data, Analyze data discrepancies, resolve issues, and ensure consistency, Support experimentation and A/B testing, including design, analysis,, Translate analytical findings into actionable insights and recommendations, Work with data stewards to ensure alignment with", "teamCollaboration" : "Partner with data science; Partner with engineering; Partner with business teams; Collaborate with data scientists; Collaborate with data engineering teams; Work with data stewards", "domainKnowledge" : "AI/ML initiatives; Predictive modeling; Generative AI analytics", "domainList" : [ "ai-ml-initiatives", "predictive-modeling", "generative-ai-analytics" ], "domainSpecificKnowledge" : [ "AI/ML initiatives", "Predictive modeling", "Generative AI analytics" ], "toolProficiency" : [ "Power BI", "Tableau" ], "communicationSkills" : "Communicate complex analytical insights", "problemSolvingSkills" : "Analyze data discrepancies; Resolve issues", "qualificationsBasic" : "Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field, 5 – 8+ years’ related or a Master’s degree with 4+ years’ or equivalent directly related work experience, Proficiency in SQL, Proficiency in at least one programming language (Python or R), Experience working with large datasets, Experience working with cloud-based data platforms (AWS, Azure, Databricks, Snowflake), Solid understanding of statistical analysis techniques, Solid understanding of data modeling concepts, Experience supporting machine learning and predictive analytics initiatives, Proficiency with data visualization tools (Power BI, Tableau, or similar), Ability to communicate complex analytical insights to business and technical stakeholders", "qualificationsPreferred" : "Master's degree in a quantitative or analytical field, Familiarity with model evaluation metrics, Familiarity with feature engineering concepts, Familiarity with experimentation frameworks, Exposure to Generative AI analytics (prompt performance, usage tracking, and evaluation)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Senior Data Analyst (AI & Advanced Analytics) – Job Description** **PURPOSE AND SCOPE** Plan and deliver advanced data analysis and insights that support AI/ML initiatives and data-driven decision-making. Partner with data science, engineering, and business teams to prepare, analyze, and operationalize data for predictive modeling and AI applications. Ensure high-quality, reliable, and governed data assets aligned with enterprise data architecture and analytics standards. **PRINCIPAL DUTIES AND RESPONSIBILITIES** Conducts advanced data analysis to identify trends, patterns, and opportunities for AI and advanced analytics use cases. Identifies and evaluates relevant data sources, including structured and unstructured data, to support modeling and reporting needs. Performs exploratory data analysis (EDA), feature analysis, and data validation for AI/ML initiatives. Develops and maintains dashboards, reports, and performance metrics to monitor business and model outcomes. Partners with data scientists to support model development, including dataset preparation, feature engineering support, and evaluation analysis. Collaborates with data engineering teams to improve data pipelines, data quality, and data accessibility. Analyzes data discrepancies, resolves issues, and ensures consistency across datasets. Supports experimentation and A/B testing, including design, analysis, and interpretation of results. Translates analytical findings into actionable insights and recommendations for business stakeholders. Works with data stewards to ensure alignment with data governance, quality, and compliance standards. **EDUCATION** Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field required. Master’s degree in a quantitative or analytical field preferred. **EXPERIENCE AND REQUIRED SKILLS** 5 – 8+ years’ related experience; or a Master’s degree with 4+ years’ experience; or equivalent directly related work experience. Strong proficiency in SQL and at least one programming language (Python or R). Experience working with large datasets and cloud-based data platforms (AWS, Azure, Databricks, Snowflake). Solid understanding of statistical analysis techniques and data modeling concepts. Experience supporting machine learning and predictive analytics initiatives. Proficiency with data visualization tools (Power BI, Tableau, or similar). Ability to communicate complex analytical insights to business and technical stakeholders. Familiarity with model evaluation metrics, feature engineering concepts, and experimentation frameworks preferred. Exposure to Generative AI analytics (prompt performance, usage tracking, and evaluation) preferred.", "summaryDescription" : "Senior Data Analyst (AI & Advanced Analytics). Skills: Data analysis, AI, Advanced analytics, Machine learning. Conduct advanced data analysis to identify trends, patterns,. Identify and evaluate relevant data sources, including structured", "postedDate" : "2026-06-12T00:33:43.139", "createdAt" : "2026-06-12T00:33:43.091", "lastUpdated" : "2026-06-14T08:47:33.392", "ingestTimestamp" : "2026-06-12T00:33:43.091", "mongoId" : "6a2ae8f374d8ee00a072bcad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://freseniusmedicalcare.wd3.myworkdayjobs.com/fme/job/Bengaluru-KA/Senior-Data-Analyst--AI---Advanced-Analytics-_R0254261", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Data modeling", "Machine learning", "Predictive analytics", "Data visualization", "Data analysis", "AI", "Advanced analytics", "Predictive modeling", "AI applications", "Data governance", "Analytics standards", "Feature analysis", "Data validation", "Model development", "Data pipelines", "Data quality", "Data accessibility", "Experimentation design", "A/B testing", "Insight translation", "Data compliance", "AI/ML initiatives", "Generative AI analytics", "Power BI", "Tableau" ], "skillCount" : 26, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 0.8888889, "_score" : 1024.6528, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c913074d8ee00a098232a", "title" : "Director, Revenue Intelligence & Analytics", "company" : "UPSTACK", "industry" : "FinTech", "salary" : { "min" : 170000.0, "max" : 190000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T03:55:24.690", "fingerprint" : "787e70a727a226e07dab4a0af6b02020500a1f5a10fa5e0c89718d1b80113615", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/upstack/jobs/5239447008", "externalId" : "5239447008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "Overview UPSTACK is the leading full-service technology advisory firm, transforming how businesses design, source, implement, support, and optimize IT infrastructure. Clients benefit from decades of expertise, enhanced support, and UPSTACK’s proprietary technology—delivering faster deployments, cost savings, and streamlined access to critical solutions. Our expertise includes: data center colocation, network connectivity, SD-WAN, unified communications, cloud contact center, CX-AI, private/public cloud, security, mobility, business continuity, and IoT. Under the leadership of Founder and CEO Christopher Trapp, UPSTACK is committed to exceptional customer experiences, serving 6,500+ clients—from SMBs to enterprises—and managing over $550M in annual technology spend across industries. About the Role We are seeking a strategic and analytical Director, Revenue Intelligence & Analytics to serve as a trusted partner to the Chief Revenue Officer (CRO) and Go-to-Market (GTM) leadership team. This leader will drive business performance through revenue intelligence, forecasting excellence, financial and operational analytics, and AI-driven insights. The ideal candidate combines deep expertise in revenue operations, financial planning, and business analytics with the ability to influence executive decision-making. This role will lead forecasting governance, pipeline analytics, productivity measurement, partner economics, investment optimization, and strategic planning initiatives that support scalable revenue growth and operational excellence. Key Responsibilities Revenue Intelligence & Forecasting Own and continuously improve revenue forecasting models, including pipeline, bookings, revenue, and quota attainment. Drive forecast rigor, governance processes, and forecasting methodologies across GTM leadership. Lead pipeline inspection and deal review processes to improve forecast accuracy and predictability. Analyze stage conversion rates, deal progression, slippage trends, and forecast variance. Support monthly, quarterly, and annual forecasting processes in partnership with Finance and GTM leadership. Sales Performance & Productivity Analytics Develop sales capacity models, including headcount planning, quota allocation, territory coverage, and ramp productivity. Evaluate sales productivity across segments, geographies, verticals, routes-to-market, and seller types. Support compensation plan modeling, attainment analysis, and incentive effectiveness reviews. Identify opportunities to improve revenue-generating efficiency and resource allocation. Strategic Growth & Market Analysis Conduct Ideal Customer Profile (ICP) analysis, market segmentation, whitespace analysis, and growth opportunity modeling. Analyze key SaaS business drivers including customer acquisition cost (CAC), lifetime value (LTV), funnel conversion, retention, and revenue growth metrics. Develop financial and business models to support pricing strategy, territory planning, market expansion, and investment decisions. Provide recommendations on GTM investments, territory design, and strategic growth initiatives. Partner & Ecosystem Performance Evaluate partner, channel, alliance, and ecosystem performance, including ROI and investment effectiveness. Assess partner economics and recommend optimization strategies to maximize growth and profitability. Executive Reporting & Business Insights Lead analytics and reporting for forecast reviews, Quarterly Business Reviews (QBRs), executive operating reviews, and Board presentations. Design and maintain executive dashboards and KPI reporting frameworks. Deliver actionable insights on performance against targets, highlighting risks, opportunities, and recommended actions. Translate complex data into clear, compelling executive-level narratives. AI & Advanced Analytics Leverage predictive analytics, AI-assisted forecasting, automation, anomaly detection, and scenario modeling to improve decision-making. Identify opportunities to enhance business intelligence capabilities and operational efficiency through technology and analytics. Cross-Functional Leadership Partner with Sales, Marketing, Customer Success, Revenue Operations, Business Systems & Data, and Finance teams to drive alignment and execution. Support annual planning, budgeting, and long-range strategic planning processes. Ensure data integrity, reporting consistency, and analytical rigor across the organization. Drive continuous improvement of processes, tools, systems, and reporting frameworks. Education Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field. Required Qualifications 10+ years of experience in Revenue Operations, Revenue Analytics, FP&A, Business Intelligence, Sales Operations, or related strategic analytics functions. Experience supporting executive leadership teams and influencing business strategy through data-driven insights. Proven success in SaaS, subscription-based, or high-growth technology environments. Demonstrated experience building and managing forecasting, planning, and performance management processes. Deep knowledge of: Revenue Operations principles Forecast governance and pipeline management Territory design and sales capacity planning Compensation and incentive design Partner and ecosystem business models SaaS growth metrics and revenue architecture FP&A, forecasting, budgeting, and variance analysis Revenue modeling concepts including ARR, MRR, bookings, churn, and pipeline metrics GTM business models and sales performance measurement Advanced proficiency with: Salesforce SQL Snowflake Gong HubSpot Marketo Power BI, Tableau, or similar BI platforms Excel and financial modeling tools Predictive analytics and AI-enabled business analysis solutions Exceptional analytical and problem-solving skills. Strong executive communication and data storytelling capabilities. Ability to synthesize large, complex datasets into actionable business recommendations. Excellent stakeholder management and cross-functional collaboration skills. Strong project management and prioritization abilities. High attention to detail and commitment to data accuracy. Additional Requirements Ability to influence executive decision-making through quantitative analysis and strategic recommendations. Demonstrated ability to challenge assumptions and drive accountability through business inspection processes. Experience balancing strategic planning with operational execution. Strong business acumen with a focus on ROI-driven investment decisions. Ability to thrive in a fast-paced, high-growth environment with evolving priorities. Proven track record of identifying business risks and opportunities proactively. Experience building scalable analytical frameworks and financial models that support company growth. Ability to partner effectively with both technical and non-technical stakeholders. Commitment to continuous improvement, operational excellence, and innovation. Salary Range Employees new to UPSTACK typically come in at the start of the pay range. UPSTACK focuses on providing a simple and transparent pay structure, which is based on a variety of factors, including location, experience, and job-related skills. The salary range for this role is $170,000.00 to $190,000.00 annually plus participation in the annual bonus program. Compensation includes base salary and benefits. Closing UPSTACK is an Equal Opportunity Employer and does not discriminate based on race, gender, ethnicity, religion, national origin, age, disability, veteran status, gender identity/expression, sexual orientation, or on any other basis prohibited by law. Consistent with applicable state and local law, UPSTACK will consider employment for all qualified applicants. UPSTACK is committed to providing reasonable accommodations to individuals with disabilities as required by applicable law. Accommodations may include adjustments to the application, interview, or assessment process, as well as modifications to the work environment or job duties to enable individuals to perform the essential functions of the role. Requests for accommodations will be evaluated on a case-by-case basis and provided unless they impose an undue hardship on the organization. At this time, UPSTACK will not sponsor a new applicant for employment authorization for this position. We endeavor to make the application process accessible to all applicants. If you would like to contact us regarding accessibility and/or need assistance completing the application process, please contact us at recruiting@upstack.com.", "summaryDescription" : "Director, Revenue Intelligence & Analytics at UPSTACK", "postedDate" : "2026-06-14T20:03:29.222", "createdAt" : "2026-06-14T20:03:29.222", "lastUpdated" : "2026-06-16T03:55:24.690", "ingestTimestamp" : "2026-06-14T20:03:29.222", "mongoId" : "6a2c913074d8ee00a098232a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 190000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 1022.18616, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a304f3ff292fd229cee64e8", "title" : "Data Analyst - Business Intelligence", "company" : "Scalian", "industry" : "Information Services", "salary" : { "max" : 50000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Madrid, Spain", "locations" : [ "Madrid", "Spain" ], "timestamp" : "2026-06-16T06:09:46.434", "fingerprint" : "1927f1696d5a71bbcc9d9891ed2ba82c421ee112714372ed16213408bdd13464", "source" : "smartrecruiters", "language" : "es", "applyUrl" : "https://jobs.smartrecruiters.com/Scalian/744000132183819-data-analyst-business-intelligence", "externalId" : "744000132183819", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "remote", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Power BI, Tableau, QlikView, Qlik Sense, MicroStrategy", "hardSkillsList" : [ "Data analysis", "Reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data visualization", "majorSkillsList" : [ "Business Intelligence", "Data visualization" ], "coreResponsibilities" : "Work on analytics and data visualization projects", "domainKnowledge" : "Banking sector", "domainList" : [ "banking-sector" ], "domainSpecificKnowledge" : [ "Banking sector" ], "toolProficiency" : [ "Power BI", "Tableau", "QlikView", "Qlik Sense", "MicroStrategy" ], "continuousLearning" : "Certifications; Personalized development plans", "qualificationsBasic" : "3 to 6 years in Business Intelligence, Proficiency in Power BI, Tableau or similar, Experience in data analysis and reporting environments", "qualificationsPreferred" : "Knowledge in QlikView / Qlik Sense, Experience with MicroStrategy, Previous experience in banking sector", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "\uD83D\uDD0E ¡Ampliamos nuestro equipo! ¿Buscas un nuevo reto donde puedas desarrollar tu carrera en Business Intelligence y trabajar con herramientas líderes del mercado? Entonces sigue leyendo \uD83D\uDC47 En Scalian , somos más de 6.000 profesionales con presencia internacional en Europa y Norteamérica. Estamos especializados en servicios de Data, Cloud e Inteligencia Artificial , acompañando a nuestros clientes en su transformación digital. \uD83D\uDE80 ¿Qué buscamos? Buscamos un/a Business Intelligence Consultant para integrarse en proyectos con clientes del sector bancario. Trabajarás en proyectos de analítica y visualización de datos. ## Qualifications Requisitos • Experiencia de 3 a 6 años en Business Intelligence • Dominio de Power BI, Tableau u otras herramientas similares • Experiencia en entornos de análisis de datos y reporting Requisitos valorables • Conocimiento en QlikView / Qlik Sense • Experiencia con MicroStrategy • Inglés (nivel opcional) • Experiencia previa en sector bancario ## Additional Information ¿Qué te ofrecemos? \uD83D\uDE80 Proyecto estable en un equipo de alto nivel con tecnologías punteras \uD83D\uDCBB 100% remoto \uD83D\uDCDD Contrato indefinido \uD83D\uDCB0 Salario hasta 50K \uD83D\uDCDA Formación continua, certificaciones y planes de desarrollo personalizados \uD83D\uDD50 Horario flexible para facilitar la conciliación \uD83C\uDF89 Afterworks y eventos de equipo \uD83C\uDF82 Tarde libre en tu cumpleaños \uD83C\uDFCB️‍♂️ Descuentos en gimnasios \uD83D\uDCB2 Retribución flexible (seguro médico, restaurante, transporte, guardería…) \uD83C\uDF0D Proyección internacional dentro del grupo ♻️ Compromiso con la sostenibilidad ⚖️ Entorno inclusivo y diverso", "summaryDescription" : "Data Analyst - Business Intelligence at Scalian. Skills: Business Intelligence, Data visualization. Work on analytics and data visualization projects", "postedDate" : "2026-06-15T11:58:48.000", "createdAt" : "2026-06-15T21:32:09.353", "lastUpdated" : "2026-06-16T06:09:46.434", "ingestTimestamp" : "2026-06-15T21:32:09.353", "mongoId" : "6a304f3ff292fd229cee64e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Business Intelligence", "Data visualization", "Banking sector", "Power BI", "Tableau", "QlikView", "Qlik Sense", "MicroStrategy" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 995.70447, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb21074d8ee00a09dfaa4", "title" : "Senior Business Intelligence Analyst", "industry" : "IT", "salary" : { "min" : 96000.0, "max" : 123000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T03:47:51.349", "fingerprint" : "bf32023e7731db97c7ba5fa98a2b351e10a909672256108c21172a6315335efe", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/d252e32d-8d57-4aad-85b3-3279cccad3e3/apply", "externalId" : "d252e32d-8d57-4aad-85b3-3279cccad3e3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Data modeling", "Forecasting", "Analytics frameworks" ], "hardSkillsList" : [ "Data integration", "Data normalization", "Data visualization", "Trend analysis", "Performance metrics analysis", "Data profiling", "Data validation" ], "hardSkills" : [ { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data normalization", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Trend analysis", "level" : "intermediate" }, { "name" : "Performance metrics analysis", "level" : "intermediate" }, { "name" : "Data profiling", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data analytics, Data visualization, Stakeholder management", "majorSkillsList" : [ "Business intelligence", "Data analytics", "Data visualization", "Stakeholder management" ], "coreResponsibilities" : "Define analytics requirements, Design analytics solutions, Deliver insights, Collect data, Integrate data, Normalize data, Develop dashboards, Develop reports, Develop data visualizations, Analyze trends, Analyze patterns, Analyze key performance indicators, Build relationships with stakeholders, Maintain relationships with stakeholders, Support development of data models, Support development of forecasting approaches, Support development of analytical frameworks", "teamCollaboration" : "Collaborate with business stakeholders; Collaborate with technical teams; Collaborate effectively across teams", "toolProficiency" : [ "BI tools", "Looker" ], "communicationSkills" : "Presentation skills; Storytelling; Presentations", "documentationSkills" : "Well-documented datasets", "continuousLearning" : "Professional development opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving abilities", "outcomesObjectives" : "Support strategic decisions; Support operational decisions; Identify opportunities for optimization; Identify opportunities for improved efficiency; Identify opportunities for revenue growth; Enable informed decision-making; Enable data-driven decision-making", "qualificationsBasic" : "Bachelor's degree in quantitative field, Equivalent professional experience, 6+ years experience in BI/data analytics, SQL proficiency, Experience with BI tools, Solid understanding of data quality principles", "qualificationsPreferred" : "Looker or similar platforms experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Accountabilities Collaborate with business stakeholders and technical teams to define analytics requirements, design solutions, and deliver insights that support strategic and operational decisions across the organization. Collect, integrate, and normalize data from multiple sources, ensuring consistency, accuracy, and reliability across reporting systems and analytical environments. Develop dashboards, reports, and data visualizations using BI tools to translate complex datasets into clear, actionable business insights and performance metrics. Analyze trends, patterns, and key performance indicators to identify opportunities for optimization, improved efficiency, and revenue growth. Build and maintain strong relationships with stakeholders, ensuring analytics outputs are aligned with business needs and effectively communicated through storytelling and presentations. Support the development of data models, forecasting approaches, and analytical frameworks that enable more informed, data-driven decision-making across teams. Requirements: Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, or a related discipline, or equivalent professional experience. 6+ years of experience in business intelligence, data analytics, or a related analytical or consultative role within a data-driven environment. Strong proficiency in SQL and experience working with BI tools such as Looker or similar platforms to build dashboards and reporting solutions. Solid understanding of data quality principles, including data profiling, validation, and maintaining reliable and well-documented datasets. Strong communication and presentation skills, with the ability to translate complex analytical findings into clear business recommendations for non-technical audiences. High attention to detail, strong problem-solving abilities, and a proactive, self-motivated approach in fast-paced environments. Ability to collaborate effectively across teams, adapt to evolving stakeholder needs, and contribute to a culture of continuous improvement and innovation. Benefits: Competitive salary range of $96,000 to $123,000, based on experience and qualifications. Eligibility for annual performance-based bonus program. Retirement savings contributions and long-term financial planning support. Comprehensive health, dental, and vision insurance coverage. Paid time off, sick leave, and parental leave programs. Flexible work environment supporting work-life balance. Access to professional development opportunities and a collaborative, inclusive workplace culture. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Senior Business Intelligence Analyst. Skills: Business intelligence, Data analytics, Data visualization, Stakeholder management. Define analytics requirements. Design analytics solutions", "postedDate" : "2026-06-12T11:34:11.089", "createdAt" : "2026-06-12T11:34:11.089", "lastUpdated" : "2026-06-16T03:47:51.349", "ingestTimestamp" : "2026-06-14T21:11:05.835", "mongoId" : "6a2cb21074d8ee00a09dfaa4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 96000, "salaryAnnualMax" : 123000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data integration", "Data normalization", "Data visualization", "Trend analysis", "Performance metrics analysis", "Data profiling", "Data validation", "Business intelligence", "Data analytics", "Stakeholder management", "Data modeling", "Forecasting", "Analytics frameworks", "BI tools", "Looker" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 952.2152, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30564bf292fd229cf26f86", "title" : "Business Analyst - Decision Platform, RBS Company", "company" : "ADCI", "industry" : "Business Intelligence, Planning/Development, Retail", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Analyst in the Technology industry in Bengaluru, India, adjusted for company size and specific role." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-16T07:03:53.440", "fingerprint" : "ee24e8e14b7631d7165ede7b1508cfc4ecca06797693cd301ce01a6702d772eb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448622/apply", "externalId" : "437c3246-c3ea-47f3-a09b-57992eb606d0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Excel, VBA, AWS, S3, Lambda, Athena", "professionalSkills" : [ "Business analysis", "Data analysis", "Descriptive analysis", "Metric definition" ], "hardSkillsList" : [ "Data transformation", "Metric calculation", "Process flow analysis" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Metric calculation", "level" : "intermediate" }, { "name" : "Process flow analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, SQL, Business intelligence", "majorSkillsList" : [ "Data analysis", "SQL", "Business intelligence" ], "coreResponsibilities" : "Support team by solving complex business problems, Extract and transform data, Deliver findings to help team make informed decisions, Execute tasks independently, Pull data from varied sources, Apply basic transformations, Produce descriptive analyses, Document analytical approach clearly, Automate repetitive manual work, Help train new peers, Tailor communication to different audiences, Own production and delivery of reports, Create, support, and improve reports and metrics, Convert data into digestible business intelligence, Shape and deliver key metrics, reports, and indicators, Dive deep into large data sets, Answer specific business questions, Present findings to leadership, Support business teams to utilize metrics and analysis, Determine improvement opportunities", "teamCollaboration" : "Work with platform tech and business; Work with applied science; Work with engineering; Work with PgMs; Work with tenant-side stakeholders", "domainKnowledge" : "Decisioning platform; Rule-based systems; Outcome-learning systems; Context-aware systems", "domainList" : [ "decisioning-platform", "rule-based-systems", "outcome-learning-systems", "context-aware-systems" ], "domainSpecificKnowledge" : [ "Decisioning platform", "Rule-based systems", "Outcome-learning systems", "Context-aware systems" ], "toolProficiency" : [ "Excel", "VBA", "Tableau", "Quicksight" ], "communicationSkills" : "Tailor communication", "documentationSkills" : "Document analytical approach", "continuousLearning" : "Learn to tailor communication", "problemSolvingSkills" : "Solving complex business problems; Draw business insights", "outcomesObjectives" : "Deliver findings that help team make informed decisions; Produce descriptive analyses that provide visibility into business performance; Highlight anomalies; Ensure tenant data foundation needed to succeed; Deliver analytical backbone; Turn raw data into confident launch decisions", "qualificationsBasic" : "Experience with SQL, Bachelor's degree or equivalent, Experience defining requirements, Using data and metrics to draw business insights", "qualificationsPreferred" : "Experience working with Tableau, Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are building Amazon's first horizontal self-serve decisioning platform — an intelligence layer that upgrades static rule-based systems into outcome-learning, context-aware decision engines. The platform serves multiple tenants across multiple organizations and domains, each requiring structured onboarding, cross-org coordination, and production launch governance. We are looking for a Business Analyst who will support the team by solving complex business problems through data analysis across multiple projects. This role is tactical — you'll take defined business questions, extract and transform data using SQL and spreadsheets, and deliver findings that help the team make informed decisions. You'll execute tasks independently with guidance from leadership. You'll be responsible for pulling data from varied sources, applying basic transformations (aggregations, metric ratios, if-then logic), and producing descriptive analyses — pivots, groupings, and process flows — that provide visibility into business performance and highlight anomalies. You'll document your analytical approach clearly, so your work is replicable by others on the team. You'll automate repetitive manual work, help train new peers, and learn to tailor your communication to different audiences. This role offers the opportunity to build solid analytical skills on a high-impact platform team, contributing directly to decisions that shape how Amazon's decision systems operate at scale. Key job responsibilities The candidate will own the production and delivery of a suite of reports, tools regularly used by the organization to make key business decisions. This will involve: 1. Creating, supporting and continuously improving reports and metrics that support the business operations 2. Converting data into digestible business intelligence and actionable information using tools like Quicksight/Tableau 3. Shaping and delivering key metrics, reports, and indicators by which business can assess its performance 4. Diving deep into large data sets to answer specific business questions using Excel, SQL and other data manipulation languages and present findings to leadership 5. Support business teams to utilize metrics and analysis to determine improvement opportunities Tools used include: 1. SQL (Redshift) 2. Excel Advanced VBA 3. Tableau/Quicksight 4. Report scheduling tools (internal) 5. AWS (S3, Lambda, Athena) About the team We operate at the intersection of product, science, and GTM — building a platform that connects decision systems across Amazon so that one signal makes all of them smarter. The platform is live with founding tenants, scaling to broad GA, and building pipeline for pan-Amazon adoption. This role is critical to ensuring that every tenant moving through the funnel has the data foundation needed to succeed. You will work directly with platform tech and business (applied science, engineering, PgMs, and tenant-side stakeholders) to deliver the analytical backbone — data readiness assessments, performance reporting, metric tracking, and business intelligence — that turns raw data into confident launch decisions, one tenant at a time, then many in parallel. Basic Qualifications: - Experience with SQL or ETL - Bachelor's degree or equivalent - Experience defining requirements and using data and metrics to draw business insights Preferred Qualifications: - Experience working with Tableau - Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Analyst - Decision Platform, RBS Company at ADCI. Skills: Data analysis, SQL, Business intelligence. Support team by solving complex business problems. Extract and transform data", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:42.319", "lastUpdated" : "2026-06-16T07:03:53.440", "ingestTimestamp" : "2026-06-15T21:59:42.319", "mongoId" : "6a30564bf292fd229cf26f86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448622/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data transformation", "Metric calculation", "Process flow analysis", "Data analysis", "SQL", "Business intelligence", "Business analysis", "Descriptive analysis", "Metric definition", "Decisioning platform", "Rule-based systems", "Outcome-learning systems", "Context-aware systems", "Excel", "VBA", "Tableau", "Quicksight" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 947.011, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3e174d8ee00a09ae5b2", "title" : "Sales Director, Defense & Intelligence (US)", "company" : "VulnCheck", "industry" : "Cybersecurity", "salary" : { "min" : 220000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Sales in the Cybersecurity industry in Maryland, United States, adjusted for seniority and company size." }, "location" : "Maryland, United States", "locations" : [ "Maryland", "United States" ], "timestamp" : "2026-06-16T03:46:41.189", "fingerprint" : "44e9518bc21b79512bf7a1726c19929cbfb4f9f3cb6d579e3aeee84ed3bce27b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/vulncheck/jobs/4278118009", "externalId" : "4278118009", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Maryland", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Maryland, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Director", "remoteFriendly" : false, "rawDescription" : "Sales Director, Defense & Intelligence (US) Location: Maryland (US) Team: Sales Employment Type: Full-Time About VulnCheck VulnCheck is transforming vulnerability intelligence by helping security teams automate defenses with machines instead of people. Our data delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats. About the Role We're looking for a proven Government Sales professional based in the Maryland area to join VulnCheck's fast-growing team. This is a hunter role built for a driven seller who can navigate complex federal buying cycles and thrive in the environment of an early-stage cyber company. You'll play a critical role in growing VulnCheck's presence across Defense and Intelligence agencies, with a strong focus on net-new revenue within target agencies focused on Mission-level outcomes. What You’ll Do Own and grow a named set of agencies, with a focus on net-new revenue and strategic expansion. Drive new business by qualifying, developing, and closing high-value opportunities across DoD, DoE, and IC accounts. Maintain a strategic pipeline with accurate forecasting in Salesforce. Lead the full sales cycle—from prospecting and partner collaboration (channel, reseller, and contract vehicles) through negotiation and close. Collaborate with Sales Engineering, Product, and Marketing to tailor solutions to agency requirements. Carry use cases from existing Defense and Intelligence agencies into net-new agencies highlighting the depth and breadth of VulnCheck data into every day critical operations within the government. You might be a great fit if you: Have 5+ years of sales experience in cybersecurity with a focus on Defense and Intelligence agencies. Have a proven track record of closing complex, high-value deals with multi-stakeholder and dynamic buying cycles. Are experienced navigating federal procurement processes, contract vehicles (e.g., GSA, SEWP, GWACs), and government acquisition timelines. Thrive in fast-paced startup or scale-up environments. Communicate clearly and effectively, both written and verbally. Are comfortable using modern sales tools and CRM systems (e.g., Salesforce). Take a consultative, technically literate approach to solution selling. Qualifications (Required) Experience selling within one or more of the following domains: Attack Surface Management (ASM) Vulnerability Management (VM) Cyber Threat Intelligence (CTI) Existing relationships with government CISOs, agency security leaders, or program managers. Experience selling into federal civilian agencies, DoD, or intelligence community organizations. Familiarity with vulnerability feeds, CVE scoring systems, or exploit intelligence. Experience working in hybrid or distributed teams. Apply Now If you’re excited by the chance to shape the future of vulnerability intelligence and work with a top-tier team tackling mission-critical security problems, we want to hear from you. What We Offer We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles: Benefits and Perks Unlimited PTO 401k plan with company match Comprehensive healthcare coverage Generous paid parental leave Remote friendly environment with flexibility Expense reimbursement for Cell Phone & Internet Ongoing professional development, coaching, and learning resources Opportunities for career advancement within a fast-growing team Why Join Us Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations. VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts. VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive. VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.", "summaryDescription" : "Sales Director, Defense & Intelligence (US) at VulnCheck", "postedDate" : "2026-06-14T20:07:56.530", "createdAt" : "2026-06-14T20:07:56.530", "lastUpdated" : "2026-06-16T03:46:41.189", "ingestTimestamp" : "2026-06-14T20:07:56.530", "mongoId" : "6a2ca3e174d8ee00a09ae5b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "_score" : 942.4629, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a928174d8ee00a0691153", "title" : "Business Intelligence Analyst", "company" : "Fever", "industry" : "Technology", "salary" : { "min" : 28000.0, "max" : 38000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Business Intelligence Analyst in Madrid, Spain, adjusted for the technology industry and company size." }, "location" : "Madrid", "locations" : [ "Madrid" ], "timestamp" : "2026-06-14T20:25:52.718", "fingerprint" : "03e112fef711f7f721c188dfd5e5a4df90f00f4414e171985b4309553d9c1600", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/feverup/jobs/4892580101", "externalId" : "4892580101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "technicalSkills" : "R, Google Analytics, MicroStrategy", "professionalSkills" : [ "Data analysis", "Business understanding", "Data warehousing", "Predictive models", "Pattern recognition" ], "hardSkillsList" : [ "Quantitative skills", "Data-based decision" ], "softSkillsList" : [ "Ownership", "Urgency", "Drive" ], "hardSkills" : [ { "name" : "Quantitative skills", "level" : "intermediate" }, { "name" : "Data-based decision", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Urgency" }, { "name" : "Drive" } ], "majorSkills" : "Business Intelligence, Data analysis, Reporting", "majorSkillsList" : [ "Business Intelligence", "Data analysis", "Reporting" ], "coreResponsibilities" : "Define and understand KPIs & Business Goals, Audit current reporting & analytics, Audit any changes to ensure data accuracy, Normalize data, Develop meaningful analysis, Build BI technology, Complete critical analysis that will drive growth, Provide insight", "teamCollaboration" : "Fever teams; Different areas of the business; Cross-functional team; Agile software development", "projectManagementSkills" : [ "BI projects", "Data initiatives" ], "domainKnowledge" : "Live entertainment; Culture", "domainList" : [ "live-entertainment", "culture" ], "domainSpecificKnowledge" : [ "Live entertainment", "Culture" ], "toolProficiency" : [ "MicroStrategy", "Google Analytics" ], "communicationSkills" : "Communicate clearly; Effective communication", "continuousLearning" : "Professional growth; Personal growth", "problemSolvingSkills" : "Analysis skills; Digging into data; Uncover product/business problems; Identify improvement opportunities", "specialRequirements" : "Possible travel", "outcomesObjectives" : "Drive business decisions; Drive growth; Shape the future of our business", "qualificationsBasic" : "Bachelor's degree with Engineering/Technical background, 0-2 Years of relevant experience, Excellent written and spoken English", "qualificationsPreferred" : "Top-tier grades, An excellent understanding of SQL or other query languages, Experience in a cross-functional team, Experience working in agile software development", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Meet the Team Our Business Intelligence team turns information into insights that help move Fever forward. We uncover insights, deliver analysis and build technology that support teams across the company to make smarter and faster decisions. Our main objective: bring clarity to complex data to drive business decisions. We focus on performance and investor insights, lead BI projects and data initiatives, and build impactful technology and dashboards. By combining technical expertise with business understanding, we ensure our data and insights don’t just inform but drive real impact. Join us if you are excited about turning raw data into strategic growth, lead high-impact BI projects, and build the insights that shape the future of our business. The Role Fever is looking for an Analyst that will play a vital role in taking our products to the next level, deepening/ widening our current understanding of our users and identifying improvement opportunities for our product. We're looking for someone with great analysis skills, the ability to get things done and a genuine interest in our customers. This is the perfect position for someone who knows a variety of techniques and tools related to data analysis (examples of techniques: data warehousing, clustering, predictive models, pattern recognition, examples of tools: R, Google Analytics, MicroStrategy, etc), enjoys working in a team and loves digging into data to uncover product/business problems and opportunities. You will work closely with different areas of the business. We also value the ability to understand how to prioritize, think on how things will scale, make tradeoffs and balance the business needs with technical constraints. What You’ll Do Working with Fever teams to define and understand KPIs & Business Goals Auditing of current reporting & analytics Auditing any changes to ensure data accuracy and normalization of data Working to develop meaningful analysis and BI technology Completing critical analysis that will drive growth and provide insight Who You Are Bachelor’s degree with Engineering/Technical background required. 0-2 Years of relevant experience. Strong analytical and quantitative skills, strong bias towards data-based decision. To love data - designing models, reporting, driving results/growth Excellent written and spoken English. Ability to communicate clearly and effectively with developers, business owners, and senior business leaders. High sense of ownership, urgency, and drive. Preferred Qualifications Top-tier grades An excellent understanding of SQL or other query languages preferred Experience in a cross-functional team. Experience working in agile software development is a plus. Why You’ll Love It Here Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. Opportunity to have a real impact in a high-growth global category leader 40% discount on all Fever events and experiences Work in a location in the heart of Madrid, with possible travel across our markets Home office friendly Responsibility from day one and professional and personal growth Great work environment with a young, international team of talented people to work with! Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee. English Lessons and Gympass Possibility to receive in advance part of your salary by Payflow We have free snacks, drinks and fruit at the office! #LI-hybrid #LI-fulltime Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "Business Intelligence Analyst at Fever. Skills: Business Intelligence, Data analysis, Reporting. Define and understand KPIs & Business Goals. Audit current reporting & analytics", "postedDate" : "2026-06-11T20:12:47.921", "createdAt" : "2026-06-11T20:12:47.921", "lastUpdated" : "2026-06-14T20:25:52.718", "ingestTimestamp" : "2026-06-11T20:12:47.921", "mongoId" : "6a2a928174d8ee00a0691153", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Quantitative skills", "Data-based decision", "Ownership", "Urgency", "Drive", "Business Intelligence", "Data analysis", "Reporting", "Business understanding", "Data warehousing", "Predictive models", "Pattern recognition", "BI projects", "Data initiatives", "Live entertainment", "Culture", "MicroStrategy", "Google Analytics" ], "skillCount" : 18, "jobCategory" : "other", "jobSubcategory" : "bi", "dataQualityScore" : 0.8888889, "_score" : 929.9648, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a254f0874d8ee00a013d497", "title" : "Analytics Engineer/Data Analyst", "company" : "DATAMAXIS", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Analytics Engineer/Data Analyst in Okemos, United States, adjusted for mid-seniority and technology industry." }, "location" : "Okemos, MI", "locations" : [ "Okemos", "MI" ], "timestamp" : "2026-06-15T05:03:33.687", "fingerprint" : "faaa850c32c59dafb5d8992a79a24ba96ed539254745fc45e2c85038b7f970fc", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://datamaxis.breezy.hr/p/a96f056fd9ec-analytics-engineer-data-analyst", "externalId" : "a96f056fd9ec", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Okemos", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.7221021,-84.4275259" } ], "locationText" : "Okemos, Michigan, United States", "employmentType" : "CONTRACT", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data modelling", "Data warehousing", "ETL development", "Business intelligence", "Data analysis", "Data engineering", "Machine learning", "Statistical analysis" ], "hardSkillsList" : [ "Data pipeline development", "Data transformation", "Analytics reporting" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Analytics reporting", "level" : "intermediate" } ], "majorSkills" : "Analytics engineering, Data engineering, Business intelligence", "majorSkillsList" : [ "Analytics engineering", "Data engineering", "Business intelligence" ], "coreResponsibilities" : "Build analytics data pipelines, Maintain analytics data pipelines, Transform raw data, Create analytics-ready datasets, Support business reporting", "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "Experienced Analytics Engineer", "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Analytics Engineer to join our team on a contract basis. 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Maintain analytics data pipelines", "createdAt" : "2026-06-14T06:18:04.028", "lastUpdated" : "2026-06-15T05:03:33.687", "ingestTimestamp" : "2026-06-14T06:18:04.028", "mongoId" : "6a254f0874d8ee00a013d497", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Data transformation", "Analytics reporting", "Analytics engineering", "Data engineering", "Business intelligence", "Data modelling", "Data warehousing", "ETL development", "Data analysis", "Machine learning", "Statistical analysis", "Tableau", "Power BI", "Looker" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 929.09784, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176db74d8ee00a0c1b262", "title" : "Intelligence Analyst II", "company" : "Amazon.com Services LLC", "industry" : "Investigation Loss Prevention, Risk Family, selling partner services", "salary" : { "min" : 82700.0, "max" : 129800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "certifications" : [ "SANS FOR578", "SANS SEC487" ], "timestamp" : "2026-06-15T02:45:15.890", "fingerprint" : "74088fef2b73d19170e8724fc0eee29efa9cf2b355c2b783fd8d1f3325a45e10", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10437863/apply", "externalId" : "19cad4f9-74b3-4636-bd33-f9f6d1659373", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, ML, Flashpoint, Maltego", "professionalSkills" : [ "Threat intelligence", "Fraud investigations", "Risk analysis", "Cybercrime research", "Investigation methodology", "Tradecraft standards", "Intelligence gathering", "Threat actor profiling", "Fraud MO investigation", "Operational security", "Intelligence production", "Detection rules", "ML model retraining", "Legal referrals", "Enforcement actions" ], "hardSkillsList" : [ "Dark web intelligence", "Deep web intelligence", "Fraud modus operandi", "Link analysis", "Enrichment pipelines" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Dark web intelligence", "level" : "intermediate" }, { "name" : "Deep web intelligence", "level" : "intermediate" }, { "name" : "Fraud modus operandi", "level" : "intermediate" }, { "name" : "Link analysis", "level" : "intermediate" }, { "name" : "Enrichment pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Threat intelligence, Fraud investigation, Dark web collection, ML integration", "majorSkillsList" : [ "Threat intelligence", "Fraud investigation", "Dark web collection", "ML integration" ], "coreResponsibilities" : "Monitor dark web marketplaces, Analyze dark web marketplaces, Identify threat actors, Profile threat actors, Track threat actors, Produce fraud MO reports, Establish investigation methodology, Maintain investigation methodology, Establish operational security standards, Maintain tooling workflows, Mentor fellow analysts, Build independent investigation capability, Partner with ML teams, Partner with Risk Mining teams, Partner with Engineering teams, Partner with Legal teams, Partner with Law Enforcement teams, Establish referral pathways, Issue real-time alerts, Drive adoption of intelligence platforms, Optimize intelligence platforms, Build custom collection scripts, Build enrichment pipelines", "teamCollaboration" : "Cross-functional collaboration; Partner with ML; Partner with Risk Mining; Partner with Engineering; Partner with Legal; Partner with Law Enforcement; Law enforcement coordination; Intelligence sharing communities", "domainKnowledge" : "Buyer fraud; Fraud ecosystems; Carding; Account takeover; Synthetic identity fraud; Refund abuse; Phishing; Fraud-as-a-service; Payment systems; E-commerce fraud vectors; Chargeback patterns; Dark web marketplaces; Encrypted communication channels; Threat intelligence frameworks; Adversarial environments", "domainList" : [ "buyer-fraud", "fraud-ecosystems", "carding", "account-takeover", "synthetic-identity-fraud", "refund-abuse", "phishing", "fraud-as-a-service", "payment-systems", "e-commerce-fraud-vectors", "chargeback-patterns", "dark-web-marketplaces", "encrypted-communication-channels", "threat-intelligence-frameworks", "adversarial-environments" ], "domainSpecificKnowledge" : [ "Buyer fraud", "Fraud ecosystems", "Carding", "Account takeover", "Synthetic identity fraud", "Refund abuse", "Phishing", "Fraud-as-a-service", "Payment systems", "E-commerce fraud vectors", "Chargeback patterns", "Dark web marketplaces", "Encrypted communication channels", "Threat intelligence frameworks", "Adversarial environments" ], "toolProficiency" : [ "Flashpoint", "Maltego" ], "communicationSkills" : "Intelligence production; Reporting", "documentationSkills" : "Investigation reports; Evidence packages", "innovationCreativity" : "Net-new intelligence function; Build new intelligence function", "problemSolvingSkills" : "Disrupting threats; Investigative research", "outcomesObjectives" : "Disrupt threats before scale", "qualificationsBasic" : "5+ years experience, Proficiency with OSINT, Knowledge of fraud ecosystems, Familiarity with payment systems, Handle confidential information, Establish partnerships", "qualificationsPreferred" : "Experience dark web collection, Operational security expertise, Experience with threat intelligence frameworks, Experience with intelligence platforms, Relationships with law enforcement, Experience building threat intelligence function, Produce court-ready evidence, Integrate threat intelligence into ML pipelines, Experience with link analysis tools", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Buyer Fraud Intelligence Unit (BFIU) within PRISM SWAT is seeking a Threat Intelligence Analyst to lead a net-new intelligence function within Buyer Risk Prevention (BRP). This role is responsible for proactively identifying, analyzing, and disrupting emerging buyer-related threats to Amazon through systematic intelligence gathering across dark web marketplaces, encrypted channels, and fraud-as-a-service platforms. You will establish investigation methodology, tradecraft standards, and tooling workflows while also delivering actionable intelligence that feeds directly into detection rules, ML model retraining, and Legal referrals. This position is open to both internal and external candidates. Internal candidates with strong fraud investigation foundations and a willingness to develop specialized tradecraft are encouraged to apply. Key job responsibilities * Dark Web & Deep Web Intelligence Collection: Monitor and analyze dark web marketplaces, carding forums, private Telegram channels, Discord servers, and paste sites for Amazon-specific exploitation techniques and emerging fraud modus operandi. * Threat Actor Profiling: Identify, profile, and track threat actors, fraud-as-a-service providers, and organized fraud rings targeting Amazon's buyer ecosystem. * Fraud MO Investigation & Reporting: Produce ≥1 comprehensive fraud modus operandi investigation report per month for Legal, including threat actor attribution, technical indicators, and estimated business impact. * Tradecraft & Methodology Leadership: Establish and maintain investigation methodology, operational security standards, and tooling workflows for the BFIU team. * Mentorship & Team Development: Serve as team lead, mentoring fellow analysts, and building toward independent investigation capability across the team. * Cross-Functional Collaboration: Partner with ML, Risk Mining, Engineering, Legal, and Law Enforcement teams to operationalize intelligence findings into detection rules, model features, and enforcement actions. * Law Enforcement Coordination: Establish and maintain referral pathways with CPE, SPI-External Enforcement, and external law enforcement agencies. * Urgent Threat Alerts: Issue real-time alerts when active exploitation campaigns targeting Amazon buyers are detected, enabling immediate defensive response. * Tooling & Automation: Drive adoption and optimization of intelligence platforms (Flashpoint, Maltego) and build custom collection scripts and enrichment pipelines. A day in the life You move between deep web research, cross functional collaboration, and intelligence production. You might be tracking a fraud tutorial on a carding forum, mapping threat actor infrastructure using link analysis tools, or walking the ML team through the exact system decision points a fraud MO exploits. You mentor analysts on tradecraft and OPSEC, finalize evidence packages for Legal, and update threat actor profiles as new intelligence emerges. Some days are heads-down research in adversarial environments; others are translating findings into detection rules with engineering partners. The constant: your work disrupts threats before they reach scale. About the team The Buyer Threat Intelligence Unit (BTIU) within Buyer Risk Prevention proactively identifies and disrupts buyer-related threats to Amazon through deep and dark web intelligence gathering. While most risk teams detect fraud after it impacts our ecosystem, BTIU operates upstream finding threats at their source in communities before they reach scale. We deliver threat actor attribution to Legal for enforcement and technical methodology breakdowns to detection teams for defensive response. This is a ground-floor opportunity to build a new intelligence function with direct leadership visibility and investment in your growth. Basic Qualifications: - Experience handling confidential information - Experience establishing successful partnerships with internal and external teams to execute tactical initiatives or equivalent - Proficiency with OSINT methodologies and investigative research techniques - Knowledge of fraud ecosystems: carding, account takeover (ATO), synthetic identity fraud, refund abuse, phishing, or fraud-as-a-service models - Familiarity with payment systems, e-commerce fraud vectors, or chargeback patterns - Ability to operate with discretion and sound judgment when handling sensitive information - 5+ years of experience in one or more of the following: cyber threat intelligence, fraud investigations, risk analysis, or cybercrime research Preferred Qualifications: - Experience navigating and collecting intelligence from dark web marketplaces, underground forums, and encrypted communication channels - Operational security (OPSEC) expertise — persona management, attribution avoidance, and safe browsing practices in adversarial environments - Experience with threat intelligence frameworks (MITRE ATT&CK) - SANS certifications: FOR578 (Cyber Threat Intelligence), SEC487 (OSINT Gathering and Analysis), or equivalent - Experience with intelligence platforms: Flashpoint, Recorded Future, Maltego Enterprise - Established relationships with law enforcement agencies or intelligence-sharing communities (e.g., FS-ISAC) - Experience building or contributing to a threat intelligence function - Background in producing court-ready evidence or supporting legal/enforcement proceedings - Experience integrating threat intelligence into ML pipelines or automated detection systems - Experience with link analysis tools for visual investigation and relationship mapping Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 82,700.00 - 129,800.00 USD annually", "summaryDescription" : "Intelligence Analyst II at Amazon.com Services LLC. Skills: Threat intelligence, Fraud investigation, Dark web collection, ML integration. Monitor dark web marketplaces. Analyze dark web marketplaces", "postedDate" : "2026-06-13T06:07:07.896", "createdAt" : "2026-06-13T06:07:07.896", "lastUpdated" : "2026-06-15T02:45:15.890", "ingestTimestamp" : "2026-06-13T06:07:07.896", "mongoId" : "6a2176db74d8ee00a0c1b262", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10437863/apply", "salaryAnnualMin" : 82700, "salaryAnnualMax" : 129800, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Dark web intelligence", "Deep web intelligence", "Fraud modus operandi", "Link analysis", "Enrichment pipelines", "Leadership", "Mentoring", "Threat intelligence", "Fraud investigation", "Dark web collection", "ML integration", "Fraud investigations", "Risk analysis", "Cybercrime research", "Investigation methodology", "Tradecraft standards", "Intelligence gathering", "Threat actor profiling", "Fraud MO investigation", "Operational security", "Intelligence production", "Detection rules", "ML model retraining", "Legal referrals", "Enforcement actions", "Buyer fraud", "Fraud ecosystems", "Carding", "Account takeover", "Synthetic identity fraud", "Refund abuse", "Phishing", "Fraud-as-a-service", "Payment systems", "E-commerce fraud vectors", "Chargeback patterns", "Dark web marketplaces", "Encrypted communication channels", "Threat intelligence frameworks", "Adversarial environments", "SANS FOR578", "SANS SEC487", "Flashpoint", "Maltego" ], "skillCount" : 44, "jobCategory" : "marketing", "dataQualityScore" : 1.0, "_score" : 915.28436, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f032beec4dd3d933f7e", "title" : "Sr. Software Development Engineer, Advanced Analytics", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 100000.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:19:02.875", "fingerprint" : "40178e250bea9c30021aaa5be4903ebcc4c67833919a416cc6a07c898b8f34dc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381945/apply", "externalId" : "cc36095a-6657-4f60-a56e-6058a41ed5a4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Data modeling, Data processing, Data storage, Data analysis, Cloud", "professionalSkills" : [ "Analytical abilities", "System architecture", "Operational excellence" ], "hardSkillsList" : [ "Real-time data processing", "Batch data processing", "Data quality frameworks", "Data lineage", "Audit trails", "High-throughput writes", "Analytical queries" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Real-time data processing", "level" : "intermediate" }, { "name" : "Batch data processing", "level" : "intermediate" }, { "name" : "Data quality frameworks", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Audit trails", "level" : "intermediate" }, { "name" : "High-throughput writes", "level" : "intermediate" }, { "name" : "Analytical queries", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Advanced Analytics, Data Engineering, Infrastructure Development", "majorSkillsList" : [ "Advanced Analytics", "Data Engineering", "Infrastructure Development" ], "coreResponsibilities" : "Design data pipelines, Build data pipelines, Ingest log data, Process log data, Store log data, Architect distributed systems, Enable real-time processing, Enable batch processing, Develop data quality frameworks, Validate raw data, Cleanse raw data, Enrich raw data, Maintain data lineage, Maintain audit trails, Create storage solutions, Optimize for writes, Optimize for queries, Build APIs, Build data access layers, Collaborate with data scientists, Collaborate with product managers, Collaborate with business stakeholders, Establish operational excellence, Implement monitoring, Implement alerting, Implement automated recovery, Mentor junior engineers, Contribute to technical direction, Drive innovation, Explore emerging technologies", "teamCollaboration" : "Data scientists; Product managers; Business stakeholders; Junior engineers", "domainKnowledge" : "Programmatic advertising; Log-level data; Ad servers; Ad exchanges; SSPs; Supply chain transparency; Auction competitiveness; Floor pricing", "domainList" : [ "programmatic-advertising", "log-level-data", "ad-servers", "ad-exchanges", "ssps", "supply-chain-transparency", "auction-competitiveness", "floor-pricing" ], "domainSpecificKnowledge" : [ "Programmatic advertising", "Log-level data", "Ad servers", "Ad exchanges", "SSPs", "Supply chain transparency", "Auction competitiveness", "Floor pricing" ], "innovationCreativity" : "Drive innovation; Explore emerging technologies", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Understand auction competitiveness; Identify revenue opportunities; Optimize floor pricing; Ensure supply chain transparency", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years system design/architecture experience, Experience as mentor or tech lead", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science, Experience with NLP, Experience with generative models, Track record of AI solution development", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We build advanced analytic solutions to support the measurement and intelligence needs of Amazon's most strategic advertising customers — Holding Companies, independent agencies, technology integrators, and large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering cutting-edge AI, modeling, and data solutions that empower our customers to make smarter, faster, and more impactful advertising decisions. In the programmatic advertising industry, transparency has become increasingly critical as the ecosystem expands with multiple layers in the ad selling and buying supply chain. Log-level data—granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs—provides advertisers with unprecedented visibility into individual ad impressions, bid prices, viewability scores, and supply path. This role will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale, empowering our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency. As a Senior Software Development Engineer on the Log-Level Data team, you will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale. Your work will empower our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency for Amazon's largest advertising partners. The ideal candidate is a creative, demonstrated leader with excellent analytical abilities and a strong drive to deliver results. You should be passionate about solving complex technical challenges, comfortable operating in ambiguous environments, and excited about the opportunity to build foundational infrastructure that will power the next generation of advertising measurement and transparency solutions. This role requires deep technical expertise, strong problem-solving skills, and exceptional communication abilities. You should be able to think strategically about system architecture while also diving deep into implementation details. You'll need to balance competing priorities, make pragmatic trade-offs, and maintain high standards for code quality and operational excellence. Key job responsibilities - Design and build highly scalable, fault-tolerant data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources including ad servers, exchanges, and SSPs - Architect distributed systems that enable real-time and batch processing of granular event-level data with sub-second latency requirements - Develop robust data quality frameworks to validate, cleanse, and enrich raw log data while maintaining data lineage and audit trails - Create efficient storage solutions optimized for both high-throughput writes and complex analytical queries across massive datasets - Build APIs and data access layers that enable downstream analytics, modeling, and reporting applications to leverage log-level data - Collaborate with data scientists, product managers, and business stakeholders to translate transparency and measurement requirements into technical solutions - Establish operational excellence practices including monitoring, alerting, and automated recovery mechanisms for mission-critical data infrastructure - Mentor junior engineers and contribute to the technical direction of the team through design reviews, code reviews, and architectural discussions - Drive innovation in data processing techniques, exploring emerging technologies and methodologies to improve system performance and capabilities Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience with natural language processing and generative model architectures - Demonstrated track record of innovative AI solution development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Sr. Software Development Engineer, Advanced Analytics at Amazon.com Services LLC. Skills: Advanced Analytics, Data Engineering, Infrastructure Development. Design data pipelines. Build data pipelines", "postedDate" : "2026-06-13T07:20:56.889", "createdAt" : "2026-06-13T07:20:56.889", "lastUpdated" : "2026-06-15T02:19:02.875", "ingestTimestamp" : "2026-06-13T07:20:56.889", "mongoId" : "69cf3f032beec4dd3d933f7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381945/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Real-time data processing", "Batch data processing", "Data quality frameworks", "Data lineage", "Audit trails", "High-throughput writes", "Analytical queries", "Leadership", "Mentoring", "Advanced Analytics", "Data Engineering", "Infrastructure Development", "Analytical abilities", "System architecture", "Operational excellence", "Programmatic advertising", "Log-level data", "Ad servers", "Ad exchanges", "SSPs", "Supply chain transparency", "Auction competitiveness", "Floor pricing" ], "skillCount" : 23, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 898.8667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "6a2cdd0874d8ee00a0a5678c", "title" : "Business Intelligence Analyst", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence Analyst in Troy, United States, with adjustments for industry and company size." }, "location" : "Troy, MI", "locations" : [ "Troy, MI" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T22:45:56.645", "fingerprint" : "c3637fe23f47702ea7b4ca5175d062f36703a81a49e9e4c17087f15fd2684057", "source" : "jazzhr", "language" : "en", "externalId" : "qS3OCeutOj", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Troy", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6055893,-83.1499304" } ], "locationText" : "Troy, Michigan, United States", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "ETL processes", "Database management", "Statistical modeling", "Machine learning algorithms", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Analysis, SQL, Python", "majorSkillsList" : [ "Business Intelligence", "Data Analysis", "SQL", "Python" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Analyze data to identify trends, Build data models, Write SQL queries, Collaborate with stakeholders, Present findings to stakeholders, Ensure data quality, Automate reporting processes", "teamCollaboration" : "Cross-functional teams; Stakeholder communication", "domainKnowledge" : "Data warehousing; Data lakes; Cloud data platforms; Machine learning frameworks; Statistical methods", "domainList" : [ "data-warehousing", "data-lakes", "cloud-data-platforms", "machine-learning-frameworks", "statistical-methods" ], "domainSpecificKnowledge" : [ "Data warehousing", "Data lakes", "Cloud data platforms", "Machine learning frameworks", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings", "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Data analysis; Troubleshooting data issues", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "summaryDescription" : "Business Intelligence Analyst. Skills: Business Intelligence, Data Analysis, SQL, Python. Develop and maintain BI dashboards. Analyze data to identify trends", "createdAt" : "2026-06-14T21:56:26.894", "lastUpdated" : "2026-06-15T22:45:56.645", "ingestTimestamp" : "2026-06-14T21:56:26.894", "mongoId" : "6a2cdd0874d8ee00a0a5678c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data visualization", "ETL processes", "Database management", "Statistical modeling", "Machine learning algorithms", "A/B testing", "Causal inference", "Business Intelligence", "Data Analysis", "SQL", "Python", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data warehousing", "Data lakes", "Cloud data platforms", "Machine learning frameworks", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 892.9883, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c728974d8ee00a093101b", "title" : "Embedded Intelligence Analyst", "company" : "Sibylline Ltd", "industry" : "Management Consulting", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Embedded Intelligence Analyst in Singapore, adjusted for mid-level experience and the consulting industry." }, "location" : "Singapore, SG", "locations" : [ "Singapore", "SG" ], "timestamp" : "2026-06-15T21:18:44.617", "fingerprint" : "dd94c25aaba15bb61d90471ff2aacc81f8bf63c43743fa09e96671a023cb6610", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SibyllineLtd/744000131952645-embedded-intelligence-analyst", "externalId" : "744000131952645", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "G Suite", "professionalSkills" : [ "Intelligence analysis", "Research", "Investigations", "Stakeholder engagement", "Data analysis", "Information visualization" ], "hardSkillsList" : [ "Open-source intelligence", "Tactical intelligence production", "Geopolitical analysis" ], "hardSkills" : [ { "name" : "Open-source intelligence", "level" : "intermediate" }, { "name" : "Tactical intelligence production", "level" : "intermediate" }, { "name" : "Geopolitical analysis", "level" : "intermediate" } ], "majorSkills" : "Intelligence analysis, Risk assessment, Security monitoring", "majorSkillsList" : [ "Intelligence analysis", "Risk assessment", "Security monitoring" ], "coreResponsibilities" : "Monitor safety and security of employees and assets, Report to embedded Team Lead, Assist Regional Intelligence Analysts, Produce finished intelligence products, Inform business decision-makers, Support incident management, Engage directly with stakeholders, Interpret requirements, Provide immediate support and consulting, Leverage additional resources, Partner with other teams and corporate stakeholders, Collect intelligence, Track threats and geopolitical developments, Maintain situational awareness, Collect and analyze information, Detect and assess threats and incidents, Determine impact on client, Use OSINT sources, Use internal databases, Produce tactical intelligence, Conduct investigations into persons of interest, Write and distribute notifications, Write and distribute daily products, Write and distribute weekly products, Assist in management of incidents and emergencies, Triage incidents and threats quickly and effectively, Monitor company events, Monitor safety of employees, Perform other duties as assigned", "teamCollaboration" : "Cross-functional teams; Corporate stakeholders; Service functions", "domainKnowledge" : "Security sector; Strategic risk; Global security; Geopolitical developments; Security operations centre", "domainList" : [ "security-sector", "strategic-risk", "global-security", "geopolitical-developments", "security-operations-centre" ], "domainSpecificKnowledge" : [ "Security sector", "Strategic risk", "Global security", "Geopolitical developments", "Security operations centre" ], "toolProficiency" : [ "G Suite" ], "communicationSkills" : "Written English; Spoken English", "problemSolvingSkills" : "Analytical flair; Clarity of thought", "qualificationsBasic" : "2+ years relevant work experience, Native-level English proficiency, Ability to produce intelligence products under deadlines, Analytical and research skills, Ability to write and edit quickly and accurately, Experience working independently, Manage sensitive investigations with minimal supervision, High integrity, High initiative, High attention to detail, Excellent time management, Excellent multitasking abilities, Customer service skills, Stakeholder engagement skills, Ability to tailor communications to diverse audiences, Advanced proficiency in G Suite, Data analysis capability, Ability to visualize complex information effectively", "qualificationsPreferred" : "Master's degree, Fluency in regional languages, Foreign language proficiency", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Sibylline is a leading intelligence and strategic risk consultancy in the security sector. Since 2010 we have supported businesses, governments and NGOs through the provision of high-quality risk analysis, due diligence and consultancy services. The firm provides an innovative, entrepreneurial and fast-growing working environment, offering employees ever greater exposure to high profile clients and challenges. Sibylline offers fantastic opportunities for career progression within a successful company, and we aim to help our employees to build their own personal profiles as well-regarded analysts within the broader industry. Key attributes of Sibylline employees are: * Self-motivated, and auto-improving individuals who can couple initiative and boldness with good judgement * Excellent written and spoken English * Clarity of thought and analytical flair * Strong, demonstrable interest in security and intelligence * The ability to work under pressure, demonstrate leadership when required but also be able to collaborate effectively in teams * Excellent attention to detail Position Summary As an Embedded Intelligence Analyst, you will be responsible for monitoring the safety and security of our client’s employees and assets worldwide, reporting directly to the embedded Team Lead. In this role, you will assist Regional Intelligence Analysts in producing finished intelligence products. These products inform business decision-makers and support incident management for the client’s internal operations. You will also engage directly with stakeholders to interpret requirements, provide immediate support and consulting, and leverage additional resources from the core Sibylline team. This is a cross-functional position that partners closely with other teams and corporate stakeholders. Applicants must demonstrate the ability to collect intelligence and track threats and geopolitical developments that directly or indirectly impact the client’s assets, personnel, and global interests. Essential Functions / Responsibilities * Maintaining situational awareness and collecting and analyzing information to ensure the safety and security of our client’s people, buildings, and operations. * Detecting and assessing threats and incidents and determining their impact on our client. * Using open-source intelligence (OSINT) sources and internal databases to produce tactical intelligence. * Using OSINT sources and internal databases to conduct investigations into persons of interest. * Writing and distributing notifications and daily and weekly products. * Assisting in the management of incidents and emergencies at the client’s sites around the globe. * Triaging incidents and threats quickly and effectively. * Monitoring company events and the safety of employees. * Other duties as assigned. Knowledge, Skills, and Abilities * Proven ability to produce high-quality intelligence products under tight deadlines, while maintaining long-term strategic assessments. * Strong analytical and research skills, with native-level English proficiency and the ability to write and edit quickly and accurately. * Deep understanding of global geopolitical, security, and social dynamics; fluency in regional languages is a plus. * Experience working independently and managing sensitive investigations with minimal supervision. * Skilled in collaborating across service functions (e.g., IT, HR, Legal) and thriving in multicultural environments. * High integrity, initiative, and attention to detail, especially when handling confidential information. * Excellent time management and multitasking abilities in fast-paced settings. * Strong customer service and stakeholder engagement skills, with the ability to tailor communications to diverse audiences. * Advanced proficiency in G Suite and data analysis tools; capable of visualising complex information effectively. ## Qualifications * Bachelor’s degree in Security Studies, International Relations, Criminal Justice, Business Management, or a relevant field from an accredited college or university; or equivalent professional experience. Master’s degree, preferred * 2+ years of relevant work experience in fields such as global security, intelligence, research and analysis, or in a security operations centre * Foreign language proficiency a plus. ## Additional Information Interview Process * Initial call with our Talent Acquisition team member * Timed written assessment (arranged at a time that suits you) to test writing and analytical capability * Panel interview with some of the team members and hiring managers at Sibylline * Meet and Greet with the client Research indicates that certain groups are less likely to apply for a position unless they meet every single requirement. If you feel you meet some of the requirements and can offer a unique perspective to this role, we strongly encourage you to apply—you might be the perfect fit we're looking for! Sibylline is committed to the recruitment and selection of candidates without regard for sexual orientation, gender, ethnicity, age, political beliefs, culture, and lifestyle. We are committed to fostering a business culture that reflects these values and promotes equal opportunity.", "summaryDescription" : "Embedded Intelligence Analyst at Sibylline Ltd. Skills: Intelligence analysis, Risk assessment, Security monitoring. Monitor safety and security of employees and assets. Report to embedded Team Lead", "postedDate" : "2026-06-12T17:51:52.000", "createdAt" : "2026-06-14T17:43:57.498", "lastUpdated" : "2026-06-15T21:18:44.617", "ingestTimestamp" : "2026-06-14T17:43:57.498", "mongoId" : "6a2c728974d8ee00a093101b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Open-source intelligence", "Tactical intelligence production", "Geopolitical analysis", "Intelligence analysis", "Risk assessment", "Security monitoring", "Research", "Investigations", "Stakeholder engagement", "Data analysis", "Information visualization", "Security sector", "Strategic risk", "Global security", "Geopolitical developments", "Security operations centre", "G Suite" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 889.9096, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca67974d8ee00a09bbb40", "title" : "Trade Marketing Intelligence Analyst Intern", "company" : "SumUp", "industry" : "FinTech", "salary" : { "min" : 26000.0, "max" : 34000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level Trade Marketing Intelligence Analyst Intern in London, United Kingdom, with adjustments for the FinTech industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T03:21:05.538", "fingerprint" : "54790d972c317cde627c3b981412227e1dbddbb74bcffc4182a0f371eb9f190c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://sumup.com/careers/positions/8547167002?gh_jid=8547167002", "externalId" : "8547167002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Quantitative analysis", "Data engineering", "Business intelligence", "ML modelling" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, BI, Analytics engineering", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "BI", "Analytics engineering" ], "coreResponsibilities" : "Manage multiple requests, Prioritise effectively, Deliver clear outputs, Spot errors, Spot inconsistencies, Summarise complex data", "teamCollaboration" : "Cross-functional teams; Global collaboration", "domainKnowledge" : "Fintech products", "domainList" : [ "fintech-products" ], "domainSpecificKnowledge" : [ "Fintech products" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Summarise complex data", "problemSolvingSkills" : "Methodical approach", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "About the team SumUp's Retail Click familiarity with Power BI or similar BI tools is a plus Ability to manage multiple requests at once, prioritise effectively, and deliver clear outputs under time pressure Comfort working with large, sometimes messy datasets and a methodical approach to spotting errors or inconsistencies Strong communication skills, with the ability to summarise complex data in a way that's easy for non-technical stakeholders to act on Why join SumUp Berlin benefits \uD83C\uDF0E Opportunity to work with SumUppers globally on fintech products used by millions of businesses worldwide, from our Berlin office at Ostbahnhof \uD83C\uDF08 Be part of an inclusive and collaborative environment where different perspectives are valued \uD83C\uDFD6️ 28 days of paid leave plus public holidays and special leave days, pro-rated \uD83D\uDEB5\uD83C\uDFFE‍♂️ Access health and well-being support through our Employee Assistance Programme, an Urban Sports Club subsidy, and fitness activities, including on-site gym access, yoga sessions, and team sports \uD83D\uDE86 Benefit from subsidised public transport with the Deutschlandticket, offering unlimited travel on local and regional transport across Germany \uD83E\uDD57 Enjoy partially subsidised office lunches and weekly breakfast \uD83D\uDD17 Receive additional rewards through our employee referral programme when referring talents to join our team About SumUp Be empowered to do more that matters. At SumUp, we're on a mission to empower small businesses across the globe by providing simple and affordable tools that allow them to thrive. Today, over 4 million businesses in 37 markets rely on SumUp as their financial partner to manage payments, finance and customer relationships. Our commitment to small businesses is reflected in our diverse team of over 3,000 SumUppers from over 90 nationalities, united by global collaboration and an innovative mindset. Our core values lay the foundation for who we are and what we stand for, shaping our work culture and driving our success. We foster inclusivity and a continuous learning culture, providing a safe space for personal and professional growth. Our differences make us unique and strong as we strive to create an environment where everyone belongs and feels supported, no matter how they identify. SumUp is proud to be an Equal Employment Opportunity employer, actively seeking and embracing diversity in our workforce. We don't make hiring or employment decisions based on race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by company policy. Our commitment extends beyond recruitment to creating a safe and respectful workplace where harassment of any form is strictly prohibited. Discover more about our culture and opportunities on our careers website, and follow our journey on LinkedIn, Instagram, and TikTok. Job Application Tip We recognise that candidates feel they need to meet 100% of the job criteria in order to apply for a job. Please note that this is only a guide. If you don’t tick every box, it’s ok too because it means you have room to learn and develop your career at SumUp.", "summaryDescription" : "Trade Marketing Intelligence Analyst Intern at SumUp. Skills: Data science, Data engineering, ML/AI, BI, Analytics engineering. Manage multiple requests. Prioritise effectively", "postedDate" : "2026-06-13T21:59:19.670", "createdAt" : "2026-06-13T21:59:19.670", "lastUpdated" : "2026-06-15T03:21:05.538", "ingestTimestamp" : "2026-06-13T21:59:19.670", "mongoId" : "6a2ca67974d8ee00a09bbb40", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "BI", "Analytics engineering", "Quantitative analysis", "Business intelligence", "ML modelling", "Fintech products", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Power BI" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 888.9451, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69f4e0ba4c40e2acd1d89d34", "title" : "Business Intelligence Engineer, Last Mile Analytics", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Engineer in Hyderabad, India, adjusted for the E-Commerce industry and mid-level experience." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T00:55:36.183", "fingerprint" : "d33be505f92ce551a76ed0a08579bdcd0f706e9a789fac7940d0db7ff0e3155b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408921/apply", "externalId" : "f08d32ef-8b35-4d29-89b6-bda52d32e20a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, R, SAS, Matlab, Redshift, Oracle, NoSQL, Tableau, Quicksight, ETL, EC2, DynamoDB, S3", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Statistical analysis" ], "hardSkillsList" : [ "Data analysis", "SQL queries", "Data processing", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "SQL queries", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, Analytics", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Analytics" ], "coreResponsibilities" : "Own vision for quality improvement, Shape strategy for customer-facing products, Raise bar on quality, Raise bar on performance, Bring innovation, Bring strategic perspective, Prioritize priorities, Execute on priorities, Partner with product teams, Partner with technology teams, Define customer experiences, Build customer experiences, Break complex problems down, Drive product development, Set tempo for defect reduction, Drive accountability across business units, Deliver high visibility projects, Deliver high impact projects, Be passionate about operational performance, Be passionate about predictability, Manage customer expectations, Resolve conflicts, Develop process for project information, Maintain project information, Disseminate project information, Be successful in delivery focused environment, Determine processes for team success, Possess superior analytical abilities, Possess superior judgment, Use quantitative data to prioritize, Use qualitative data to prioritize, Use quantitative data to influence, Use qualitative data to influence, Show creativity, Show experimentation, Show innovation, Drive projects with urgency, Develop vision for customer experience, Develop strategy for customer experience, Influence product roadmaps, Support scalable company growth, Enable success of Operations leadership team, Implement best practices, Distribute best practices", "teamCollaboration" : "Matrix organization; Key stakeholders; Product teams; Technology teams; Global stakeholders; Operations leadership team", "domainKnowledge" : "Last mile analytics; Address management", "domainList" : [ "last-mile-analytics", "address-management" ], "domainSpecificKnowledge" : [ "Last mile analytics", "Address management" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Python" ], "communicationSkills" : "Executive presence; Presenting to senior leadership", "innovationCreativity" : "Innovation; Creativity; Experimentation", "problemSolvingSkills" : "Problem solving; Analytical abilities; Judgment", "qualificationsBasic" : "4+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience writing complex SQL queries, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift", "qualificationsPreferred" : "Experience with AI/ML technologies, Experience communicating to senior leadership, Experience presenting to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate’s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The successful candidate will be able to: - Effectively manage customer expectations and resolve conflicts that balance client and company needs. - Develop process to effectively maintain and disseminate project information to stakeholders. - Be successful in a delivery focused environment and determining the right processes to make the team successful. - This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. - Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. - Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. - Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. - Serve as a role model for Amazon Leadership Principles inside and outside the organization - Actively seek to implement and distribute best practices across the operation Basic Qualifications: - 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Preferred Qualifications: - Experience with AI/ML technologies - Experience communicating and presenting to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer, Last Mile Analytics at ADCI. Skills: Business Intelligence, Data Engineering, Analytics. Own vision for quality improvement. 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From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.) **Job Summary** We are seeking a highly analytical and technically proficient Compliance Analyst to join our Continuous Compliance Monitor (CCM) team within the Cybersecurity GRC organization. In this role, you will help ensure that our technology environment, data practices, and security controls continuously align with internal policies and industry standards. You will leverage data analytics and automated monitoring tools to assess control effectiveness, proactively identify risks, and support continuous compliance efforts. Additionally, you will partner closely with engineering teams to embed compliance requirements into platform design and development, while delivering actionable insights that strengthen our overall cybersecurity posture. **Job Description** # ***This position is unable to provide work authorization sponsorship or immigration support now or in the future.*** ## ## **Compliance Controls** * **Control Requirements Definition:** Define, map, and document comprehensive continuous compliance control requirements aligned to the organization’s cybersecurity frameworks, regulatory obligations, and internal policies. * **Control Validation & Effectiveness:** Continuously test and validate the design and operational effectiveness of technical controls, ensuring they mitigate risk as intended and meet compliance standards. ## **Platform Integration & Validation** * **Functional Specification Development:** Translate complex regulatory and compliance requirements into clear, actionable functional specifications for engineering and product teams developing internal platforms. * **Platform & Release Validation:** Perform rigorous pre- and post-deployment validation of platforms and system updates to ensure compliance requirements are embedded and operating effectively. ## **Data Analytics & Insights** * **Control Monitoring & Analytics:** Utilize data analytics tools to continuously monitor automated controls, analyze system activity, and proactively identify anomalies or control failures. * **Analytical Support for GRC Initiatives:** Conduct deep-dive data analysis, extraction, and manipulation to support internal audits, regulatory inquiries, and broader GRC efforts. * **Data Storytelling & Reporting:** Synthesize complex data into clear, compelling insights through dashboards and presentations. Communicate key trends, risk posture, and actionable recommendations to both technical and executive stakeholders. ## **Skills & Qualifications** * 2–4 years of experience in data analysis * Experience in cybersecurity, compliance, or GRC environments * Proficiency in Excel and SQL for analyzing large datasets * Familiarity with (or ability to learn) Snowflake and Databricks environments * Experience analyzing data and delivering insights to support compliance reporting, remediation efforts, and risk awareness * Strong communication skills with the ability to engage and influence both technical and non-technical stakeholders * Proven ability to create clear, well-structured presentations and reports that support program objectives and key initiatives * Relevant certifications (e.g., CISA, CRISC, Security+, CISM) preferred **Employees at all levels are expected to:** * Understand our Operating Principles; make them the guidelines for how you do your job. * Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. * Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. * Win as a team make big things happen by working together and being open to new ideas. * Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. * Drive results and growth. * Support a culture of inclusion in how you work and lead. * Do what's right for each other, our customers, investors and our communities. **Disclaimer:** * This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. **Here 's a look at just some of the perks and benefits we make available to our US-based employees:** * Medical & Dental * 401(k) Savings Plan * Generous paid time off * Life Milestones - from adoption assistance, childcare resources, pet insurance, and more, Comcast supports you at all life stages. * Courtesy Services - We offer all of our full-time employees in serviceable areas free digital TV and internet. * ## **Learn more at** [jobs.comcast.com/life-at-comcast/benefits](https://jobs.comcast.com/life-at-comcast/benefits) We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation. * This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. * **Comcast is an EOE/Veterans/Disabled/LGBT employer.** * Discount tickets for Universal Resorts, including theme park tickets and onsite hotel rooms. **Skills** Actionable Insights, Communication, Cross-Functional Teamwork, Cybersecurity Controls, Data Analytics, Privacy Compliance, Report Design We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality—to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the [benefits summary](https://jobs.comcast.com/benefits) on our careers site for more details. **Education** Bachelor's Degree: Cybersecurity While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. **Certifications** (if applicable) **Relevant Work Experience** 2-5 Years Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.", "summaryDescription" : "Compliance Analytics Analyst at Comcast. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-11T17:30:46.970", "createdAt" : "2026-06-14T17:30:46.880", "lastUpdated" : "2026-06-16T05:24:56.710", "ingestTimestamp" : "2026-06-14T17:30:46.880", "mongoId" : "6a2db03574d8ee00a0c83acc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://comcast.wd5.myworkdayjobs.com/Comcast_Careers/job/PA---Philadelphia-1701-John-F-Kennedy-Blvd/Compliance-Analytics-Analyst-2_R438572", "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Machine learning", "Data modelling", "Data science", "Data engineering", "Business intelligence", "Quantitative analysis", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Fivetran", "Airflow", "Snowflake", "BigQuery", "Redshift", "Databricks", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 880.8088, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7a7b74d8ee00a09459da", "title" : "Research Analyst (Non-Data)", "company" : "DLH", "industry" : "Government", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T03:42:24.456", "fingerprint" : "2bb47dfc553f404a5533834f75597a203d6d74264f4fb0b1a1b69b07e0caeac1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dlhcorporation/jobs/5160129007", "externalId" : "5160129007", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Data management, Data governance, Data analysis, Data dissemination, Artificial intelligence, Cloud enablement, Modeling, Simulation", "professionalSkills" : [ "Performance evaluation", "Systems engineering", "Digital transformation" ], "hardSkillsList" : [ "Scientific evidence translation", "Program data capture", "Data quality assessment" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Scientific evidence translation", "level" : "intermediate" }, { "name" : "Program data capture", "level" : "intermediate" }, { "name" : "Data quality assessment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Public health research, Data analysis, Program management", "majorSkillsList" : [ "Public health research", "Data analysis", "Program management" ], "coreResponsibilities" : "Ensure capture of program data, Produce reports based on program data, Monitor commitment and obligation of funds, Prepare reports on disbursement of funded projects, Help translate scientific evidence, Support coordination and management of program activity", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Research project management" ], "domainKnowledge" : "Public health; HIV prevention; Health operations; National security readiness", "domainList" : [ "public-health", "hiv-prevention", "health-operations", "national-security-readiness" ], "domainSpecificKnowledge" : [ "Public health", "HIV prevention", "Health operations", "National security readiness" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Meticulous documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Reside within commuting distance of Atlanta, Chicago, or Washington, DC, Occasional in-person meetings", "outcomesObjectives" : "Strengthen nationwide capacity to monitor HIV epidemic", "qualificationsBasic" : "Bachelor's degree in public health, 2 years of experience managing research, Ability to obtain NAC clearance", "qualificationsPreferred" : "Experience handling public health research projects, Experience with systematic reviews, Prior experience with CDC, Master's degree in public health, Detail oriented and able to create meticulous documentation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 2,400 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions. Overview DLH Corp, is looking for a Public Health Research Analyst (Non-Data) to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC). CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-related illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic. This position is 100% remote. However, employees may be required to attend occasional in-person meetings, trainings, or team events on an as-needed basis. To support onboarding and compliance requirements, candidates must reside within reasonable commuting distance of Atlanta, GA; Chicago, IL; or Washington, DC. Access to one of these secure office locations is required for smart card issuance, background investigation processing, and other periodic administrative or security-related activities. Responsibilities Ensure the capture of program data. Produce reports based on program data. Monitor the commitment and obligation of funds. Prepare reports on disbursement of funded research or demonstration projects. Help translate scientific evidence from the literature into practical information. Support ongoing coordination and management of program activity. Qualifications Bachelor’s degree in public health or related field. Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness. At least 2 years of experience with managing or running a research or demonstration project. Familiarity with public health research budgets and expenditures. Excellent written and verbal communication skills. Ability to multitask and prioritize competing needs. Must be able to obtain a NAC clearance Preferred Qualifications Experience handling public health research projects. Experience with systematic reviews. Prior experience with CDC, HHS, or other federal or state health agency. Master’s degree in public health or related field. Detail oriented and able to create meticulous documentation of products. Strong organizational and interpersonal skills. Basic Compensation: $50,000 - $70,000 yearly salary The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law. Benefits DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions. #LI-REMOTE EEO DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply. DLH is committed to maintaining a fair and authentic interview process", "summaryDescription" : "Research Analyst (Non-Data) at DLH. Skills: Public health research, Data analysis, Program management. Ensure capture of program data. Produce reports based on program data", "postedDate" : "2026-06-13T20:23:39.978", "createdAt" : "2026-06-13T20:23:39.978", "lastUpdated" : "2026-06-15T03:42:24.456", "ingestTimestamp" : "2026-06-13T20:23:39.978", "mongoId" : "6a2c7a7b74d8ee00a09459da", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 50000, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Scientific evidence translation", "Program data capture", "Data quality assessment", "Communication skills", "Public health research", "Data analysis", "Program management", "Performance evaluation", "Systems engineering", "Digital transformation", "Research project management", "Public health", "HIV prevention", "Health operations", "National security readiness" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 880.211, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5e4274d8ee00a08e28ab", "title" : "Competitive Intelligence Analyst", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 40000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Competitive Intelligence Analyst in Tallinn, Estonia, adjusted for the technology industry." }, "location" : "Tallinn, Estonia", "locations" : [ "Tallinn", "Estonia" ], "timestamp" : "2026-06-15T00:55:52.507", "fingerprint" : "afdbfba32d44251aa4af00e76dc46f8ecf204553ea62a3dd759d281466fa033a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8565985002?gh_jid=8565985002", "externalId" : "8565985002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tallinn", "country" : "Estonia", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "59.4372420,24.7572693" } ], "locationText" : "Tallinn, Estonia", "minimumEducation" : "Master's", "technicalSkills" : "SQL, AI-tools", "professionalSkills" : [ "Market research", "Strategic insight", "Competitive benchmarks" ], "hardSkillsList" : [ "Data quality", "Data collection", "Data analysis", "Modelling skills" ], "softSkillsList" : [ "Analytical skills", "Interpersonal skills" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical skills" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Competitive intelligence, Data analysis, Market dynamics", "majorSkillsList" : [ "Competitive intelligence", "Data analysis", "Market dynamics" ], "coreResponsibilities" : "Own driver value proposition data quality, Improve data accuracy, Improve data consistency, Improve data comparability, Design data collection process, Maintain data collection process, Standardise definitions across markets, Standardise methodologies across markets, Assess Bolt vs. competitor value propositions, Identify gaps, Identify trends, Identify strategic opportunities, Translate complex data into insights, Manage internal data sources, Manage external data sources, Evaluate source reliability, Expand data coverage, Train stakeholders on CI tools, Train stakeholders on methodologies, Support stakeholders on CI tools, Support stakeholders on methodologies, Build data-driven culture", "teamCollaboration" : "Internal stakeholders; External stakeholders; Product teams; Strategy teams; Leadership teams", "domainKnowledge" : "Driver value proposition; Market dynamics; Competitive strategy", "domainList" : [ "driver-value-proposition", "market-dynamics", "competitive-strategy" ], "domainSpecificKnowledge" : [ "Driver value proposition", "Market dynamics", "Competitive strategy" ], "toolProficiency" : [ "Excel", "Google Sheets", "Looker" ], "communicationSkills" : "Actionable insights", "problemSolvingSkills" : "Break down complex problems; Drill down into drivers", "outcomesObjectives" : "Inform product decisions; Inform strategy decisions", "qualificationsBasic" : "Master's degree, SQL proficiency, Marketplace experience, E-commerce experience, Consulting experience, R&D experience, Data-driven work, Operational work", "qualificationsPreferred" : "PhD preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Help shape how Bolt understands its drivers across 40+ markets. You’ll own the data that drives our competitive strategy — turning fragmented signals into sharp, actionable insights on driver value proposition and market dynamics. If you love clean data, clear thinking, and real impact, this one’s for you. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Competitive Intelligence Analyst on our Driver Data team, you’ll sit at the intersection of data quality, market research, and strategic insight. You’re the person who makes messy, multi-market driver data legible — and turns it into something leadership can actually act on. This is a high-ownership role. You’ll build and maintain centralized data collection processes, own a portfolio of internal and external data sources, and produce competitive benchmarks that directly inform product and strategy decisions across Bolt’s global markets. Main tasks and responsibilities: Own driver value proposition data quality across 40+ global markets, improving accuracy, consistency, and comparability. Design and maintain a centralised data collection process, standardising definitions and methodologies across markets. Assess Bolt vs. competitor driver value propositions, identifying gaps, trends, and strategic opportunities. Translate complex, multi-source data into clear, actionable insights for product, strategy, and leadership teams. Manage a portfolio of internal and external data sources, continuously evaluating source reliability and expanding coverage. Train and support internal stakeholders on CI tools and methodologies, building a data-driven culture across teams. About you: Proven experience in marketplaces, e-commerce, consulting, or R&D — with a strong focus on data-driven and operational work. Master’s degree in Finance, Business, Statistics, Research, or a related field. Strong analytical skills with the ability to interpret complex data and translate it into actionable insights. Solid modelling skills including Excel / Google Sheets, Looker, SQL, AI-tools. Ability to break down complex problems into structured components and drill down into underlying drivers. Excellent interpersonal skills, with the ability to build effective relationships across internal and external stakeholders. Why you’ll love it here: Accelerate your professional growth with unique career opportunities. Enjoy a rewarding salary and stock options, knowing that as Bolt succeeds, so do you. Take care of your physical and mental health with our wellness perks. Celebrate 5 years at Bolt with a 1-month paid sabbatical to recharge. Connect with colleagues at annual company events and smaller team gatherings. Balance flexibility and in-person collaboration with our hybrid model, including at least 12 monthly in-office days. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Competitive Intelligence Analyst at Bolt Technology. Skills: Competitive intelligence, Data analysis, Market dynamics. Own driver value proposition data quality. Improve data accuracy", "postedDate" : "2026-06-12T21:52:39.567", "createdAt" : "2026-06-12T21:52:39.567", "lastUpdated" : "2026-06-15T00:55:52.507", "ingestTimestamp" : "2026-06-12T21:52:39.567", "mongoId" : "6a2c5e4274d8ee00a08e28ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data quality", "Data collection", "Data analysis", "Modelling skills", "Analytical skills", "Interpersonal skills", "Competitive intelligence", "Market dynamics", "Market research", "Strategic insight", "Competitive benchmarks", "Driver value proposition", "Competitive strategy", "Excel", "Google Sheets", "Looker" ], "skillCount" : 16, "jobCategory" : "other", "jobSubcategory" : "data-analytics", "dataQualityScore" : 0.7777778, "_score" : 876.90326, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69fda4e44c40e2acd1b9989b", "title" : "Business Intelligence Engineer II, AMXL Analytics", "company" : "Amazon EU SARL (Germany Branch)", "industry" : "Business Intelligence, Business Intel Engineer, Logistics", "salary" : { "min" : 78000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence Engineer II in Munich, Germany, adjusted for Amazon's company size and the logistics industry." }, "location" : "Munich, Bavaria, DEU", "locations" : [ "Munich, Bavaria, DEU" ], "timestamp" : "2026-06-15T04:19:49.660", "fingerprint" : "fa7a994b24465b4da2f730a9acf0e96d2cc13875609153cb72809a840b77b215", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10413324/apply", "externalId" : "ba1802d0-1b4f-4d8a-a8bc-a63149148f9f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Munich", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "Munich, Bavaria, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Redshift, Oracle, NoSQL, Tableau, Quicksight, Excel, MicroStrategy, PowerBI, Python, Java, R", "professionalSkills" : [ "Performance measurement", "Process improvement", "Business acumen", "Logistics system management" ], "hardSkillsList" : [ "Data analysis", "Data integration", "Data visualization", "Data presentation", "Statistical methods", "Data modeling", "Data pipeline design", "Statistical analysis", "Co-relation analysis" ], "softSkillsList" : [ "Customer focused", "Analytical abilities", "Comfort with ambiguity", "Attention to detail" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data presentation", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data pipeline design", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Co-relation analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer focused" }, { "name" : "Analytical abilities" }, { "name" : "Comfort with ambiguity" }, { "name" : "Attention to detail" } ], "majorSkills" : "Business Intelligence, Data Engineering, Analytics", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Analytics" ], "coreResponsibilities" : "Maintain and develop data pipeline for EU region, Automate and improve existing manual processes, Create tools to help deep diving and investigations, Analyze and visualize large scale logistics and transaction, Output solid analysis report with recommendation", "teamCollaboration" : "Technical teams; Business teams", "domainKnowledge" : "Last mile delivery; Logistics business; Package delivery network; Global logistics system", "domainList" : [ "last-mile-delivery", "logistics-business", "package-delivery-network", "global-logistics-system" ], "domainSpecificKnowledge" : [ "Last mile delivery", "Logistics business", "Package delivery network", "Global logistics system" ], "toolProficiency" : [ "Tableau", "Quicksight", "Excel", "MicroStrategy", "PowerBI" ], "communicationSkills" : "Data presentation", "documentationSkills" : "Analysis report", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical abilities; Deep diving; Investigations", "outcomesObjectives" : "Drive effective performance measurement; Drive effective performance management; Improve efficiency of package delivery network; Enable efficient management of large global logistics system; Track progress against goals", "qualificationsBasic" : "Analyzing and interpreting data with Redshift, Oracle, NoSQL etc., Data visualization using Tableau, Quicksight, or similar tools, Industry analytics visualization tools (e. g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI), Statistical methods (e. g. t-test, Chi-squared), Scripting language (e. g. , Python, Java, or R), SQL, Data space experience", "qualificationsPreferred" : "Master's degree, or Advanced technical degree, Knowledge of data modeling, Knowledge of data pipeline design, Statistical analysis experience, Co-relation analysis experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Extra Large (AMXL) is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for building out analysis and visualization tools and processes’ to support our growing Amazon Logistics business in Europe. The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data. Key job responsibilities - Maintain and develop data pipeline for EU region - Automate and improve existing manual processes - Create tools to help deep diving and investigations into operations execution and business problems - Analyze and visualize large scale logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation. Basic Qualifications: - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Experience with SQL - Experience in the data/BI space Preferred Qualifications: - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer II, AMXL Analytics at Amazon EU SARL (Germany Branch). Skills: Business Intelligence, Data Engineering, Analytics. Maintain and develop data pipeline for EU region. Automate and improve existing manual processes", "postedDate" : "2026-06-13T09:04:44.674", "createdAt" : "2026-06-13T09:04:44.674", "lastUpdated" : "2026-06-15T04:19:49.660", "ingestTimestamp" : "2026-06-13T09:04:44.674", "mongoId" : "69fda4e44c40e2acd1b9989b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10413324/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data integration", "Data visualization", "Data presentation", "Statistical methods", "Data modeling", "Data pipeline design", "Statistical analysis", "Co-relation analysis", "Customer focused", "Analytical abilities", "Comfort with ambiguity", "Attention to detail", "Business Intelligence", "Data Engineering", "Analytics", "Performance measurement", "Process improvement", "Business acumen", "Logistics system management", "Last mile delivery", "Logistics business", "Package delivery network", "Global logistics system", "Tableau", "Quicksight", "Excel", "MicroStrategy", "PowerBI" ], "skillCount" : 29, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 876.2062, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f032beec4dd3d933f7d", "title" : "Software Development Engineer, Advanced Analytics - LLD", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Advertising", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T02:17:27.319", "fingerprint" : "ebf9b61c0054a64a2e9d2ca833e70fc012de0f99e251c86fadf4b33f69032ee1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10381944/apply", "externalId" : "9547ad48-07e4-4d92-bef4-01c73d92de7c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "C#, C++, Java, Perl", "professionalSkills" : [ "Data solutions", "AI modeling", "Data analysis" ], "hardSkillsList" : [ "Log-level data analysis", "Data processing", "Data storage", "API development", "Data quality checks", "Performance optimization", "Cost optimization" ], "hardSkills" : [ { "name" : "Log-level data analysis", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data storage", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Data quality checks", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Cost optimization", "level" : "intermediate" } ], "majorSkills" : "Advanced analytics, Data engineering, Software development", "majorSkillsList" : [ "Advanced analytics", "Data engineering", "Software development" ], "coreResponsibilities" : "Implement scalable data pipelines, Ingest log-level advertising data, Process log-level advertising data, Store log-level advertising data, Build ETL workflows, Transform event-level data, Develop data storage components, Develop data access layers, Create APIs for data querying, Implement data quality checks, Implement data validation logic, Implement monitoring for data pipelines, Optimize data processing performance, Optimize data processing cost, Optimize query performance, Optimize query cost, Write clean code, Write well-tested code, Participate in code reviews, Understand technical requirements, Contribute to design discussions, Debug production issues, Participate in on-call rotations, Document systems, Document processes, Document runbooks", "teamCollaboration" : "Senior engineers; Analytics teams; Data scientists", "domainKnowledge" : "Programmatic advertising; Log-level data; Supply chain transparency; Auction competitiveness; Floor pricing", "domainList" : [ "programmatic-advertising", "log-level-data", "supply-chain-transparency", "auction-competitiveness", "floor-pricing" ], "domainSpecificKnowledge" : [ "Programmatic advertising", "Log-level data", "Supply chain transparency", "Auction competitiveness", "Floor pricing" ], "documentationSkills" : "Document systems; Document processes; Document runbooks", "innovationCreativity" : "Innovative AI solution development", "problemSolvingSkills" : "Debug production issues", "specialRequirements" : "On-call rotations", "outcomesObjectives" : "Empower smarter advertising decisions; Empower faster advertising decisions; Empower impactful advertising decisions; Understand auction competitiveness; Identify revenue opportunities; Optimize floor pricing; Ensure supply chain transparency", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, 1+ years software development engineer experience, 1+ years large-scale distributed software experience, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or related field", "qualificationsPreferred" : "3+ years full software development life cycle experience, Bachelor's degree in computer science or equivalent, Demonstrated track record of innovative AI solution development, Experience with natural language processing, Experience with generative model architectures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We build advanced analytic solutions to support the measurement and intelligence needs of Amazon's most strategic advertising customers — Holding Companies, independent agencies, technology integrators, and large-scale advertisers. We own and operate the premier advanced analytics capability within Amazon Ads, delivering cutting-edge AI, modeling, and data solutions that empower our customers to make smarter, faster, and more impactful advertising decisions. In the programmatic advertising industry, transparency has become increasingly critical as the ecosystem expands with multiple layers in the ad selling and buying supply chain. Log-level data—granular, non-aggregated, event-level information from ad servers, exchanges, and SSPs—provides advertisers with unprecedented visibility into individual ad impressions, bid prices, viewability scores, and supply path. This role will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale, empowering our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency. As a Software Development Engineer on the Log-Level Data team, you will build the foundational infrastructure to capture, process, store, and analyze this raw data at petabyte scale. Your work will empower our organization to understand auction competitiveness, identify revenue opportunities, optimize floor pricing, and ensure supply chain transparency for Amazon's largest advertising partners. Key job responsibilities - Implement and maintain scalable data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources (ad servers, exchanges, SSPs) - Build ETL workflows that transform raw event-level data into queryable, analysis-ready formats following established architectural patterns and best practices - Develop components of data storage solutions and access layers, working within existing system architectures - Create and maintain APIs that enable analytics teams and data scientists to query log-level data efficiently - Implement data quality checks, validation logic, and monitoring for assigned data pipelines and services - Optimize performance and cost efficiency of existing data processing jobs and queries - Write clean, well-tested code and participate in code reviews to maintain high engineering standards - Collaborate with senior engineers to understand technical requirements and contribute to design discussions - Debug and resolve production issues, participating in on-call rotations as needed - Document systems, processes, and runbooks to support operational excellence Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Demonstrated track record of innovative AI solution development - Experience with natural language processing and generative model architectures Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, Advanced Analytics - LLD at Amazon.com Services LLC. Skills: Advanced analytics, Data engineering, Software development. Implement scalable data pipelines. Ingest log-level advertising data", "postedDate" : "2026-06-13T02:35:33.647", "createdAt" : "2026-06-13T02:35:33.647", "lastUpdated" : "2026-06-15T02:17:27.319", "ingestTimestamp" : "2026-06-13T02:35:33.647", "mongoId" : "69cf3f032beec4dd3d933f7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10381944/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Log-level data analysis", "Data processing", "Data storage", "API development", "Data quality checks", "Performance optimization", "Cost optimization", "Advanced analytics", "Data engineering", "Software development", "Data solutions", "AI modeling", "Data analysis", "Programmatic advertising", "Log-level data", "Supply chain transparency", "Auction competitiveness", "Floor pricing" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 875.7916, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Advertising Technology" }, { "id" : "69f835e84c40e2acd1eb754d", "title" : "Business Intelligence Engineer, Last Mile Analytics", "company" : "Amazon Dev Center India", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Business Intelligence Engineer in Hyderabad, India, adjusted for the e-commerce industry and large company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:43:46.886", "fingerprint" : "d1549ab870c41f58d26299e4d6c3e64bc337c42b4831a2a18ff0c6ff65e03a2b", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10409645/apply", "externalId" : "f424b890-dc96-473d-b944-160fb4375dfe", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, EC2, DynamoDB, S3, ML", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Statistical Analysis" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Data modeling", "ETL development", "SQL querying", "Statistical analysis" ], "softSkillsList" : [ "Leadership", "Analytical abilities", "Judgment", "Creativity", "Experimentation", "Innovation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Analytical abilities" }, { "name" : "Judgment" }, { "name" : "Creativity" }, { "name" : "Experimentation" }, { "name" : "Innovation" } ], "majorSkills" : "Business Intelligence, Data Engineering, Analytics", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Analytics" ], "coreResponsibilities" : "Own vision for quality improvement, Shape strategy for customer-facing products, Raise bar on quality and performance, Bring innovation and strategic perspective, Prioritize and execute on priorities, Partner with product and technology teams, Define and build customer experiences, Break complex problems down, Drive product development, Set tempo for defect reduction, Drive accountability across business units, Deliver large scale projects, Lead by example, Manage customer expectations, Resolve conflicts, Develop process for project information dissemination, Maintain project information, Disseminate project information, Be successful in delivery focused environment, Determine right processes for team success, Use quantitative data to prioritize, Use qualitative data to prioritize, Influence with data, Drive projects with urgency, Partner with stakeholders, Develop vision for customer experience, Develop strategy for customer experience, Influence product roadmaps, Support scalable company growth, Develop Operations leadership team, Enable success of Operations leadership team, Serve as role model, Implement best practices, Distribute best practices", "teamCollaboration" : "Matrix organization; Key stakeholders; Product teams; Technology teams; Global stakeholders; Operations teams; Finance teams", "domainKnowledge" : "Last Mile Analytics; Customer experience; Address management", "domainList" : [ "last-mile-analytics", "customer-experience", "address-management" ], "domainSpecificKnowledge" : [ "Last Mile Analytics", "Customer experience", "Address management" ], "toolProficiency" : [ "Tableau", "Quicksight", "R", "SAS", "Matlab", "EC2", "DynamoDB", "S3", "Redshift" ], "communicationSkills" : "Executive presence; Presenting to senior leadership", "innovationCreativity" : "Innovation; Experimentation; Creativity", "problemSolvingSkills" : "Problem solving; Analytical abilities; Judgment", "outcomesObjectives" : "Defect reduction; Improve operational performance; Improve predictability", "qualificationsBasic" : "5+ years analyzing data, Experience with data visualization, Experience with data modeling, Experience building ETL pipelines, Experience writing complex SQL queries, Experience in Statistical Analysis packages, Experience with AWS solutions", "qualificationsPreferred" : "Experience with AI/ML technologies, Experience communicating to senior leadership, Experience presenting to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate’s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The successful candidate will be able to: - Effectively manage customer expectations and resolve conflicts that balance client and company needs. - Develop process to effectively maintain and disseminate project information to stakeholders. - Be successful in a delivery focused environment and determining the right processes to make the team successful. - This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. - Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. - Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. - Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. - Serve as a role model for Amazon Leadership Principles inside and outside the organization - Actively seek to implement and distribute best practices across the operation Basic Qualifications: - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience writing complex SQL queries - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Preferred Qualifications: - Experience with AI/ML technologies - Experience communicating and presenting to senior leadership Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer, Last Mile Analytics at Amazon Dev Center India. Skills: Business Intelligence, Data Engineering, Analytics. Own vision for quality improvement. Shape strategy for customer-facing products", "postedDate" : "2026-06-13T05:28:14.099", "createdAt" : "2026-06-13T05:28:14.099", "lastUpdated" : "2026-06-15T02:43:46.886", "ingestTimestamp" : "2026-06-13T05:28:14.099", "mongoId" : "69f835e84c40e2acd1eb754d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409645/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data visualization", "Data modeling", "ETL development", "SQL querying", "Statistical analysis", "Leadership", "Analytical abilities", "Judgment", "Creativity", "Experimentation", "Innovation", "Business Intelligence", "Data Engineering", "Analytics", "Data warehousing", "ETL pipelines", "Statistical Analysis", "Last Mile Analytics", "Customer experience", "Address management", "Tableau", "Quicksight", "R", "SAS", "Matlab", "EC2", "DynamoDB", "S3", "Redshift" ], "skillCount" : 30, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 873.3982, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30503ff292fd229ceedf3c", "title" : "Senior Analyst / Manager of Data & Analytics", "company" : "Equinox", "industry" : "Health, Wellness And Fitness", "salary" : { "min" : 100000.0, "max" : 110000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, United States", "locations" : [ "New York", "NY", "United States" ], "timestamp" : "2026-06-16T05:40:25.996", "fingerprint" : "a1ad4d9a00366e1c7ae464d9c051fb28202e96a0de31f1b6f660b3f58f51c488", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Equinox/744000132200739-senior-analyst-manager-of-data-analytics", "externalId" : "744000132200739", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, Pandas, Matplotlib, Looker, LookML, Tableau, Jupyter Notebooks, GCP, AWS", "professionalSkills" : [ "Data modeling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling" ], "hardSkillsList" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines" ], "softSkillsList" : [ "Curious", "Problem-solver" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Problem-solver" } ], "majorSkills" : "Data & Analytics, Business Intelligence, Data Modeling, Storytelling", "majorSkillsList" : [ "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling" ], "coreResponsibilities" : "Understand business questions, Deliver timely analysis, Surface opportunities for data-driven improvement, Design and maintain dashboards, Monitor key business metrics, Proactively identify trends and performance gaps, Build, optimize, and document LookML models, Support scalable, efficient analysis, Audit existing dashboards and data sources, Identify consolidation opportunities, Diagnose and resolve data issues, Improve data pipelines, Ensure reporting accuracy, Trace issues back to their source, Develop and maintain models that forecast business outcomes, Develop and maintain models that forecast customer behavior, Develop deep familiarity with data landscape, Contribute to long-term data strategy, Build culture of data-driven decision-making", "teamCollaboration" : "Partner with cross-functional teams; Partner with senior stakeholders; Partner with Data Engineering team", "projectManagementSkills" : [ "Manage multiple priorities" ], "domainKnowledge" : "Business performance measurement", "domainList" : [ "business-performance-measurement" ], "domainSpecificKnowledge" : [ "Business performance measurement" ], "toolProficiency" : [ "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "communicationSkills" : "Translate complex data; Clear recommendations", "documentationSkills" : "Document LookML models", "continuousLearning" : "Professional development opportunities", "problemSolvingSkills" : "Problem-solver; Ambiguous questions", "outcomesObjectives" : "Drive business forward; Make smarter, faster decisions", "qualificationsBasic" : "4 to 6 years of professional experience in analytics, business intelligence, or data engineering, SQL proficiency, Ability to work independently and manage multiple priorities, Exceptional attention to detail and organizational skills", "qualificationsPreferred" : "Expert in proficiency in Python (pandas, matplotlib, etc.), Hands-on experience with Looker/LookML, Familiarity with Tableau, Familiarity with Jupyter Notebooks, Familiarity with GCP/AWS, Experience with predictive modeling or statistical analysis (regression, forecasting) a plus, Creative problem-solver who thrives on ambiguous questions, Willingness to initiate tasks and perform duties with limited direction", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. OUR MISSION To foster an open, diverse, & inclusive community – while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. SoulCycle is seeking a sharp, curious data professional with a passion for turning numbers into narratives and insights into action. If you have a strong foundation in analytics and business intelligence, a deep comfort with SQL, and the ability to move fluidly between data infrastructure and executive-level storytelling, we'd love to hear from you. The Senior Analyst / Manager will be the connective tissue between our data systems and the decisions that drive our business forward. This role is equally focused on the technical work of building and maintaining reliable, scalable data models and dashboards, and the strategic work of surfacing trends, patterns, and opportunities that help SoulCycle make smarter, faster decisions. The ability to own an analysis end-to-end, from pulling the data to presenting the \"so what,\" is essential. The ideal candidate is a proactive, detail-obsessed problem-solver who thrives in ambiguity and knows how to prioritize competing demands without losing rigor or quality. This is a high-impact, high-visibility role that touches every team at SoulCycle, and the right person will be energized by that breadth, not overwhelmed by it. This individual will develop deep expertise in SoulCycle's full data landscape, contribute to our long-term data strategy, and help build a culture of data-driven decision-making across the organization, all while staying close to the day-to-day analytical needs of a fast-moving business. RESPONSIBILITIES * Insights & Recommendations: Partner with cross-functional teams and senior stakeholders to understand business questions, deliver timely analysis, and surface opportunities for data-driven improvement * Visualizations & Dashboarding: Design and maintain ad-hoc and recurring Looker reports; build and monitor key business metrics; proactively identify trends and performance gaps * Data Modeling: Build, optimize, and document LookML models that support scalable, efficient analysis across the organization * Infrastructure & Data Quality: Audit existing dashboards and data sources to identify consolidation opportunities; diagnose and resolve data discrepancies; partner with the Data Engineering team to improve data pipelines and ensure reporting accuracy. Possess a strong instinct for when data doesn't look right and the analytical rigor to trace issues back to their source. * Predictive Modeling: Develop and maintain models that forecast business outcomes, customer behavior, and other key metrics * Subject Matter Expertise: Develop deep familiarity with SoulCycle's full data landscape and contribute to evolving how the business measures performance ## Qualifications * 4 to 6 years of professional experience in analytics, business intelligence, or data engineering * Expert in SQL; proficiency in Python (pandas, matplotlib, etc.) strongly preferred * Hands-on experience with Looker/LookML; familiarity with Tableau, Jupyter Notebooks, and GCP/AWS * Experience with predictive modeling or statistical analysis (regression, forecasting) a plus * Ability to work independently and manage multiple priorities in a fast-paced environment * Strong communicator: able to translate complex data into clear recommendations for both technical and non-technical audiences * Exceptional attention to detail and organizational skills * Creative problem-solver who thrives on ambiguous questions * Willingness to initiate tasks and perform duties with limited direction JOINING THE SOULCYCLE FAMILY As a member of the SoulCycle family, you will enjoy: * Competitive salary, benefits, and perks/discounts at SoulCycle * Unlimited complimentary rides at all SoulCycle locations * Growth, leadership, and professional development opportunities The salary range for this position is $100K to $110K. ## Additional Information The responsibilities and duties of this position described here are representative of those an employee must perform. This is not a comprehensive list and other duties may be assigned.", "summaryDescription" : "Senior Analyst / Manager of Data & Analytics at Equinox. Skills: Data & Analytics, Business Intelligence, Data Modeling, Storytelling. Understand business questions. Deliver timely analysis", "postedDate" : "2026-06-15T13:17:44.000", "createdAt" : "2026-06-15T21:41:34.690", "lastUpdated" : "2026-06-16T05:40:25.996", "ingestTimestamp" : "2026-06-15T21:41:34.690", "mongoId" : "6a30503ff292fd229ceedf3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 110000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Dashboarding", "Predictive modeling", "Statistical analysis", "Data pipelines", "Curious", "Problem-solver", "Data & Analytics", "Business Intelligence", "Data Modeling", "Storytelling", "Business intelligence", "Data analysis", "Data storytelling", "Executive-level storytelling", "Manage multiple priorities", "Business performance measurement", "Looker", "LookML", "Tableau", "Jupyter Notebooks" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 863.58624, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.95 }, { "id" : "69f519c94c40e2acd1eb1bef", "title" : "Business Intelligence Engineer, AdTech & Programmatic Analytics", "company" : "Amazon Advertising LLC", "industry" : "Business Intelligence, Business Intel Engineer, Advertising", "salary" : { "min" : 50000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T01:54:43.840", "fingerprint" : "f745a93ed238d882ba96437539088e89fce2875b5be20121eb6a6583a609b6af", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408986/apply", "externalId" : "81ab28e6-774e-4100-a4ad-650003aa5003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, ETL, Oracle, Redshift, NoSQL, Tableau, Quicksight, R, SAS, Matlab, Python, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Business intelligence", "Programmatic analytics", "AdTech", "Data modeling", "Data warehousing", "ETL pipelines", "Statistical analysis", "Automated reporting", "Data visualization" ], "hardSkillsList" : [ "SQL", "ETL", "Data modeling", "Data warehousing", "Statistical analysis", "Automated reporting", "Data visualization" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Automated reporting", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data engineering, Analytics", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Analytics" ], "coreResponsibilities" : "Design automated measurement pipelines, Develop automated measurement pipelines, Design user-friendly reports, Develop user-friendly reports, Design dashboards, Develop dashboards, Recommend new metrics, Recommend new techniques, Recommend new strategies, Collaborate with cross-functional teams, Gather data requirements, Retrieve data, Aggregate data, Present data, Identify product gaps, Identify product trends, Manage request intake process, Prioritize tasks, Own metrics development, Own report development, Own analysis development, Own dashboard development, Participate in planning discussions, Translate business requirements, Translate into technical specifications", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Finance teams; Partner teams", "domainKnowledge" : "AdTech; Programmatic advertising", "domainList" : [ "adtech", "programmatic-advertising" ], "domainSpecificKnowledge" : [ "AdTech", "Programmatic advertising" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL", "Python" ], "problemSolvingSkills" : "Data-driven decision-making", "outcomesObjectives" : "Optimize efficiency; Optimize effectiveness; Surface opportunities; Track engagements; Measure impact; Share actionable insights; Inform business decisions; Inform business programs", "qualificationsBasic" : "3+ years of SQL, 3+ years of ETL, 3+ years of Oracle experience, 3+ years of processing large datasets, 3+ years of performing statistical analysis, 3+ years of developing automated reporting, 3+ years of analyzing data with Redshift, 3+ years of analyzing data with Oracle, 3+ years of analyzing data with NoSQL, Experience with data visualization, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience using SQL to pull data, Scripting experience (Python)", "qualificationsPreferred" : "Experience with AWS solutions, Experience in data mining, Experience using databases in a business environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Analytics Team supporting the Programmatic Solutions Consulting (PSC) organization seeks a Business Intelligence Engineer to join our team in New York City. This role will focus on the design, development, and management of analytical tools and reporting as an end-to-end owner. These solutions will help accelerate our efforts to optimize the efficiency and effectiveness of our partner teams who service our advertising customers. We produce analyses and reporting to surface opportunities to engage with customers, track those engagements, measure the impact, and share actionable insights with senior leaders to inform business decisions and programs. PSC leadership, regional and country managers, Program Managers, and partner teams, such as Finance and Product, will serve as your main customers. Key job responsibilities • Design and develop automated, user-friendly measurement pipelines, reports, and dashboards to support internal partners. • Recommend new metrics, techniques, and strategies to enhance customer experience. • Collaborate with cross-functional teams to gather data requirements. • Enable data-driven decision-making by retrieving and aggregating data from multiple sources, presenting it in a clear and actionable format. • Work with engineering and product teams to identify product gaps and trends. • Manage the request intake process, prioritizing tasks in partnership with stakeholders. • Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to inform key business decisions. • Participate in strategic and tactical planning discussions. • Collaborate with subject matter experts to translate business requirements into technical specifications. About the team Amazon Advertising is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions - including sponsored, display, video, and custom ads - leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. Within Amazon Advertising, the Ad Tech Sales and Services team focuses on developing strategic partnerships across advertising agencies and direct clients. Basic Qualifications: - 3+ years of SQL, ETL or Oracle experience - 3+ years of processing large, multi-dimensional datasets from multiple sources experience - 3+ years of performing statistical analysis experience - 3+ years of developing automated reporting experience - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 109,500.00 - 185,000.00 USD annually", "summaryDescription" : "Business Intelligence Engineer, AdTech & Programmatic Analytics at Amazon Advertising LLC. Skills: Business intelligence, Data engineering, Analytics. Design automated measurement pipelines. Develop automated measurement pipelines", "postedDate" : "2026-06-13T02:02:47.885", "createdAt" : "2026-06-13T02:02:47.885", "lastUpdated" : "2026-06-15T01:54:43.840", "ingestTimestamp" : "2026-06-13T02:02:47.885", "mongoId" : "69f519c94c40e2acd1eb1bef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408986/apply", "salaryAnnualMin" : 50000, "salaryAnnualMax" : 185000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "SQL", "ETL", "Data modeling", "Data warehousing", "Statistical analysis", "Automated reporting", "Data visualization", "Business intelligence", "Data engineering", "Analytics", "Programmatic analytics", "AdTech", "ETL pipelines", "Programmatic advertising", "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL", "Python" ], "skillCount" : 20, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 859.23517, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cd6a474d8ee00a0a3ecd7", "title" : "Epic Decision Tree Analyst", "company" : "Prominence Advisors", "industry" : "Hospital & Health Care", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Bulgaria, adjusted for mid-seniority, full-time employment in the healthcare industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T01:42:30.598", "fingerprint" : "7f15014739861f39cf54117154b4df97f9586610e55b3ab9d9c247fb6452ae1c", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/49165D039D/apply", "externalId" : "49165D039D", "industryFunction" : { }, "locationPoint" : "39.8283,-98.5795", "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Prominence Advisors is actively seeking an **Epic Decision Tree Analyst** to join their team. You'll have the opportunity to help healthcare organizations solve their toughest challenges through your ability to drive strategic process improvement, manage complex projects, and solve difficult problems. You'll help strengthen our team of the best and brightest, with reputations centered on getting things done. We've won multiple awards for workplace culture and innovation, including our most recent designation as a top 10 Best Small Firm to work for by Consulting magazine. At Prominence, you'll become part of a disruptive force in the Healthcare IT space, changing your clients' expectations for the better. Your clients will value you as a true advisor, filling a strategic need. You'll use honesty and candor to consistently provide straight-forward truths and conversations with clients. ### Who We Are Prominence is a healthcare technology strategy and implementation firm, focused on helping the nation’s leading healthcare organizations to do more with their data. Founded by former Epic managers, we understand the technology landscape in healthcare and provide IT staffing, advisory services, and analytics solutions to create robust data ecosystems that support clinical workflows, automate operational processes, and expedite research. Whether it’s guiding a technology implementation, establishing governance principles, or developing leading edge analytics, we help our customers make sense out of the mountain of data at their fingertips in order to deliver higher quality care at a lower cost. Ranked as a best place to work over 27 times (and counting!), Prominence’s culture provides consultants with a supportive environment that allows you to innovate and grow your career in healthcare IT. Additional information is available on our website. **Requirements** You will need to possess the following qualifications for this role * Certifications * Epic Decision Tree certification * Experience * 3+ years of experience as an Epic Advisor * Soft-Skills * Strong problem-solving and analytical skills * Excellent communication and collaboration skills * Ability to work independently and manage multiple projects simultaneously **Benefits** Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We’ve won Modern Healthcare’s Best Places to Work Award and have been voted to Chicago’s 101 Best and Brightest companies list three years running. Our most recent designation is being named in the top 10 by Consulting magazine as one of the Best Small Firm to Work For. Prominence is dedicated to hiring the best and brightest minds in healthcare and maintaining a culture that rewards our employees for following their passion. We are excited to offer the following benefits for this position: * Competitive Salaried and Hybrid Compensation Plans * Health Care Plan (Medical, HSAs, Dental & Vision) * Retirement Plan (401k) * Life Insurance (Basic, Voluntary & AD&D) * Dependent & Health Savings Accounts * Short Term & Long Term Disability * Paid Time Off (Vacation/Sick & Public Holidays) * Training & Development Fund * Work From Home * Charitable Giving to Causes You Believe In ### ### Employment Eligibility Must be legally authorized to work in the United States without sponsorship. ### ### Commitment to Equal Opportunity The world’s most talented professionals come from every background. All applicants will be considered for employment without attention to age, race, color, religion, gender identity and/or expression, sexual orientation, national origin, marital status, veteran or disability status, or any other characteristic protected by law. In addition, Prominence will provide reasonable accommodations for qualified individuals with disabilities. If you are smart and good at what you do, come as you are. All qualified candidates are encouraged to apply. ### ### Partnership Eligibility Our partnerships are extremely important to us. This online application is not intended for anyone who is currently under a non-compete agreement or has an arrangement that precludes employment at Prominence. We appreciate your help in respecting our partners. Interested in learning more? Apply below to connect with our Talent team about immediate openings and future consulting projects.", "summaryDescription" : "Epic Decision Tree Analyst at Prominence Advisors", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-14T18:48:21.245", "lastUpdated" : "2026-06-16T01:42:30.598", "ingestTimestamp" : "2026-06-14T18:48:21.245", "mongoId" : "6a2cd6a474d8ee00a0a3ecd7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/49165D039D", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 859.1581, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca3ba74d8ee00a09ad65a", "title" : "NA Analytics Lead Sr Analyst", "company" : "Hasbro", "industry" : "Manufacturing", "salary" : { "min" : 79300.0, "max" : 119000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:50:25.443", "fingerprint" : "21bacc1daca1ab2a8e279e444e1f9a7e4279c71b63c12fcd8d9f7200a41e68ac", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/hasbro/jobs/4250545009", "externalId" : "4250545009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" }, { "city" : "Pawtucket", "state" : "Rhode Island", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8789531,-71.3821203" } ], "locationText" : "Boston, Massachusetts, United States; Pawtucket, Rhode Island, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Excel, Tableau, Power BI", "professionalSkills" : [ "Business recommendations", "Partner management" ], "hardSkillsList" : [ "Data visualization", "Statistical analysis" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence", "majorSkillsList" : [ "Data analysis", "Business intelligence" ], "coreResponsibilities" : "Analyze large datasets, Identify trends and patterns, Offer insights for cost to serve, Offer insights for company performance, Offer insights for customer involvement, Develop dashboards, Maintain reporting frameworks, Ensure data quality, Ensure data consistency, Ensure standardized metrics, Define analytics guidelines, Define reporting standards, Translate business needs, Present insights clearly, Present insights timely", "teamCollaboration" : "Senior partners; Multi-functional teams", "domainKnowledge" : "Cost to serve model", "domainList" : [ "cost-to-serve-model" ], "domainSpecificKnowledge" : [ "Cost to serve model" ], "toolProficiency" : [ "Tableau", "Power BI" ], "communicationSkills" : "Present insights", "problemSolvingSkills" : "Actionable insights", "specialRequirements" : "Onsite Tuesday - Thursday", "outcomesObjectives" : "Improve cost to serve strategies; Improve company performance; Improve customer involvement", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Solid SQL skills, Solid Excel skills, Solid Data visualization skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certifications", "workSiteFlexibility" : "Hybrid", "rawDescription" : "We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Customer Excellence is a team that is responsible for promoting data-informed decision-making across North America business units, translating sophisticated data into actionable insights! We serve as a link between business partners and data teams, blending hands-on analysis with strategic influence. We apply customer data sources as well as a cost to serve model to highlight areas of opportunities for improvement. Effective from the date that Hasbro opens its new Boston location, this position will be onsite Tuesday – Thursday at Hasbro’s new HQ location in Boston, MA. In the interim, this position will be onsite Tuesday –Thursday at Hasbro’s HQ in Pawtucket, RI or at Hasbro’s temporary location in Boston, MA. A day in the life of a Senior Analyst Logistics: What You’ll Do: Analyze large datasets to identify trends, patterns, and actionable insights that impact business performance. Offer insights based on data to improve cost to serve strategies, company performance, and customer involvement. Develop and maintain dashboards and reporting frameworks while ensuring data quality, consistency, and standardized metrics. Help define analytics guidelines and reporting standards through translating business needs into analytical frameworks and benchmarks. Present insights clearly and timely to senior partners and multi-functional teams. What You’ll Bring Bachelor’s degree in data science, Analytics, Business, Statistics, or a related field, or equivalent experience. Proven solid skills in SQL, Excel and Data visualization models (Tableau, PBI) Experience translating complex data into business recommendations Good communication and partner management skills The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $79,300—$119,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.", "summaryDescription" : "NA Analytics Lead Sr Analyst at Hasbro. Skills: Data analysis, Business intelligence. Analyze large datasets. Identify trends and patterns", "postedDate" : "2026-06-13T22:36:43.693", "createdAt" : "2026-06-13T22:36:43.693", "lastUpdated" : "2026-06-15T07:50:25.443", "ingestTimestamp" : "2026-06-13T22:36:43.693", "mongoId" : "6a2ca3ba74d8ee00a09ad65a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 79300, "salaryAnnualMax" : 119000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data visualization", "Statistical analysis", "Data analysis", "Business intelligence", "Business recommendations", "Partner management", "Cost to serve model", "Tableau", "Power BI" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 858.5174, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca08974d8ee00a09a2861", "title" : "Analyst, Venture Intelligence Program", "company" : "Altis", "industry" : "Venture Intelligence", "salary" : { "min" : 100000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T00:27:12.015", "fingerprint" : "416b0dbf1ec9d9825d7e0f64e9e6bea2a3542cab79999c681251488bd370d6a9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/altis/bd10f062-18cc-4ee8-98ab-be0bc9244073/application", "externalId" : "bd10f062-18cc-4ee8-98ab-be0bc9244073", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Venture Capital", "Financial modeling" ], "hardSkillsList" : [ "Primary research", "Building models", "Synthesizing findings" ], "hardSkills" : [ { "name" : "Primary research", "level" : "intermediate" }, { "name" : "Building models", "level" : "intermediate" }, { "name" : "Synthesizing findings", "level" : "intermediate" } ], "majorSkills" : "Venture Capital, Financial modeling, Primary research", "majorSkillsList" : [ "Venture Capital", "Financial modeling", "Primary research" ], "coreResponsibilities" : "Support research pods, Conduct interviews, Build models, Synthesize findings, Contribute to reports", "teamCollaboration" : "Research pods; Sector Leads; Founding CRO; CEO", "domainKnowledge" : "Series A/C companies; Venture Capital; AI; Technology", "domainList" : [ "series-a-c-companies", "venture-capital", "ai", "technology" ], "domainSpecificKnowledge" : [ "Series A/C companies", "Venture Capital", "AI", "Technology" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Clear communication; Synthesize complexity", "documentationSkills" : "Building reports", "continuousLearning" : "Structured analyst program; Analytical training", "problemSolvingSkills" : "Digs until answer makes sense", "outcomesObjectives" : "Advance into senior roles; Gain expertise in Venture Capital; Build network of industry contacts; Gain equity in company", "qualificationsBasic" : "2 years of professional experience, Quantitative and analytical foundation", "qualificationsPreferred" : "Experience in Consulting, Experience in Banking, Experience in expert networks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Altis Altis is a venture intelligence platform that helps investors make faster, better decisions on Series A/B/C companies. We conduct deep primary research (expert interviews with customers, competitors, and industry specialists) to build the analysis that drives investment committee decisions. We're backed by Primary Venture Partners, co-founded by a Midas-list investor, and building a structured analyst program modeled on the intellectual range and apprenticeship found at top management consulting firms. About The Role This is a 2-year program designed to be one of the best analytical training grounds available. You'll support research pods across sectors: conducting interviews, building models, synthesizing findings, and contributing to reports that go directly to investors evaluating Series A+ opportunities. Top performers advance into senior roles. You'll leave with real expertise in Venture Capital, a network of industry contacts, and equity in a company you helped build. You'll be mentored by Sector Leads and a Founding CRO (ex-McKinsey, ex-Growth Investor). The CEO is a former BCG Partner. You won't be buried in a back office. You'll work directly with senior people who've led diligence at the top firms. About You - Graduated recently or have up to 2 years of professional experience in Consulting, Banking, or expert networks - A strong quantitative and analytical foundation. You're the person who digs until the answer makes sense. - Genuine curiosity about AI, technology, and what makes companies succeed or fail - An appetite for the things that make consulting and banking attractive (intellectual challenge, structured mentorship, working on high-stakes problems); don't worry we skipped the constant travel, grinding on decks at 2am for a client who won't read them - Clear communication skills. You can synthesize complexity into something a decision-maker can act on. You Want - $100K - $130K base compensation - Significant pre-Series A equity (restricted stock, the most favorable structure for early employees) - 100% employer-paid health benefits - New York City, in-office 4-5 days/week (27th and Park Ave) - Structured 2-year program with defined advancement paths", "summaryDescription" : "Analyst, Venture Intelligence Program at Altis. Skills: Venture Capital, Financial modeling, Primary research. Support research pods. 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"Competitive analysis", "Decision making", "Product design", "Live-ops", "Monetisation", "Economy analysis", "Business performance", "Market sizing", "Strategic implications" ], "hardSkillsList" : [ "Statistical analysis", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Market intelligence, Competitor analysis, Game deconstruction, Data analysis", "majorSkillsList" : [ "Market intelligence", "Competitor analysis", "Game deconstruction", "Data analysis" ], "coreResponsibilities" : "Connect games to market, Keep pulse on gaming markets, Track competitor actions, Combine external data, Form view of market direction, Deconstruct competitor games, Explain why games work, Identify market signals, Highlight opportunities, Build understanding of competitors, Translate insights into implications, Work with game teams, Set up monitoring system, Map progression systems, Map monetisation systems, Connect product updates to performance, Explain game mechanics, Spot live-ops shifts, Highlight learnings, Size game opportunity, Analyze competitor portfolio moves, Distill strategic implications", "teamCollaboration" : "Cross-team collaborations; Game teams; Data teams; Live-ops teams; Leadership", "domainKnowledge" : "Gaming markets; Game genres; Game sub-genres; Geographies; Competitor titles; Competitor companies; Product decisions; Portfolio decisions; Core loops; Progression systems; Event systems; Monetisation systems; Economy systems; Live-ops mechanics; Genre-defining games; Market 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], "communicationSkills" : "Communicate concisely; Communicate clearly; Turn analysis into thinking; Talk to designers; Talk to analysts; Talk to marketers; Talk to leadership", "problemSolvingSkills" : "Think clearly; Enjoy messy problems; Make sense of markets; Break down games; Connect dots; Form hypotheses; Surface insights", "qualificationsBasic" : "5+ years experience, SQL proficiency, Comfortable with numbers, Break games down into systems, Know your way around data sources, Play games, Think about games, Dig into data using SQL", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "rawDescription" : "[https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/13debaec-d68e-4102-8572-9a8038a43645/clash%20royale%20landscape%20cartoon.png] WE ARE LOOKING FOR A MARKET & COMPETITOR INTELLIGENCE ANALYST TO JOIN OUR GAME RESEARCH TEAM IN HELSINKI. WE ARE AN INTERDISCIPLINARY GROUP COMMITTED TO EMPOWERING DECISION-MAKING IN SUPERCELL GAMES THROUGH PLAYER AND MARKET INSIGHTS. UNITED BY OUR PASSION FOR GAMES, CURIOSITY ABOUT HUMAN BEHAVIOR, AND DEDICATION TO SCIENTIFIC RIGOR, WE ARE LOOKING FOR SOMEONE WHO SHARES OUR ENTHUSIASM TO DECODE “WHAT’S HAPPENING” AND THE “WHY” UNDERNEATH IT. This is the first dedicated Market & Competitor Intelligence role in-house. While this is an individual contributor position, the scope and impact are significant. You will help shape how this function is built — defining frameworks, setting standards, and establishing how we think about market and competitive intelligence across Supercell. In this role, you will elevate our market awareness and competitive sharpness across the portfolio. You’ll own macro-level market understanding across genres, sub-genres, and geographies, and build structured intelligence on competitor titles and companies to inform product and portfolio decisions. If you are passionate about understanding how markets move, how games win, and how companies operate, and turning that into clear, decision-shaping insights — this role is for you. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/7a053edc-bf2e-4db4-85ee-5630e2b5d305/banner_narrow_customs.jpg] WHAT YOU'LL BE DOING - Connect our games to the bigger market: Keep a close pulse on gaming markets across genres and regions. Track what competitors are doing in product design, features, live-ops, and monetisation. Combine external data (Sensor Tower, GameRefinery, etc.) with internal knowledge to form a clear view of where things are heading. - Uncover what makes competitor games tick (or don’t): Deconstruct the core loops, systems, progression, events, monetisation and economy to explain not just how a game works, but why it works — and what our games could learn from it. - Spot meaningful signals early: Identify meaningful patterns, shifts, and early signals across the market and competitive space. Highlight what’s gaining traction, what’s changing, and where new opportunities may be forming. - Turn insights into actions through close cross-team collaborations: Build a solid understanding of competitor titles and companies — how they design, operate, and grow — and translate that into concrete implications for our games. Work closely with game teams, data, live-ops, and leadership to make sure insights actually get used. - Here are examples of things you might work on: - Set up a market and competitor monitoring system to track performance, key product movements, and emerging high-growth competitors - Break down a competitor game in depth — map its progression, event cadence, monetisation and economy systems — connect product updates to business performance, and explain clearly to game teams what makes it work (or not) - Spot a shift in live-ops mechanics or monetisation structures across the market and highlight what we could learn from it - Size the opportunity for an innovative or genre-defining game by combining market benchmarks with bottom-up, player-based estimation - Analyze a competitor studio’s portfolio moves or operating model and distill the strategic implications - And many other things. We expect you to take ownership, work independently, think creatively, and drive the topics you believe matter. WHAT YOU HAVE - Think clearly and enjoy messy problems. You like making sense of complex markets. You’re comfortable with numbers and sizing models, and you know how to break games down into systems — core loops, monetisation, live-ops — to understand what makes them work. You know your way around different data sources, but you are able to connect dots, form hypotheses, and surface insights even when there’s limited existing data to work with - Care deeply about games. You play them. You think about them. You notice why something feels good or doesn’t. You’re curious about why a game would succeed or fail — and you’re just as curious about how the companies behind them operate. - Are comfortable working with data. You’ve used tools like Sensor Tower or GameRefinery before. You don’t mind digging into data using SQL, Tableau, or similar tools. You value the intellectual rigor in your work, but don’t need to wait for perfect data to form hypotheses and a perspective. - Communicate concisely and clearly. You turn analysis into clear thinking. You can talk to designers, analysts, marketers, or leadership without hiding behind jargon or 100-page decks. - Collaborate across disciplines. You’re comfortable working with designers, live-ops and monetisation team, data analysts, marketing, and leadership. You know how to adapt your communication to different audiences and build trust across functions through a hands-on, grounded approach. - Value ownership and autonomy. You’re comfortable working independently in a fast-moving, sometimes messy environment. You care about doing good work, you’re open to feedback, happy to be proven wrong at times (then we learn together!) and focused on impact over credit. - A self-starter approach to use AI. You've found ways to use it in your day-to-day work, you experiment, figure things out and bring the same energy to every new challenge. WOULD BE NICE IF YOU ALSO HAVE - 4+ years in market intelligence, strategy, consulting, gaming analytics, or related fields - But as people learn and grow at different paces, we do NOT want to make years of experience a mandatory requirement to candidates - Experience building structured competitive intelligence programs - Strong understanding of the mobile gaming ecosystem and its monetisation models WHERE YOU'LL BE The position is based in Helsinki, where most of the live game teams are located. ––– That's it about the role! Below, we've gathered some things we feel are important for you to know. Totally optional, but a highly recommended read. Once you're ready to apply, just send us your application through the form on the bottom of the page. ––– [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/88b3477a-7124-479e-babc-94125c5b23be/banner_narrow_allstars.jpg] ABOUT SUPERCELL Supercell is a games company from Helsinki, Finland, with offices https://supr.cl/jd-offices also in San Francisco, Seoul, Shanghai, and London. You might know us as the makers of Hay Day, Clash of Clans, Boom Beach, Clash Royale, and Brawl Stars. Our mission is to create great games https://supr.cl/jd-games that as many people as possible play for years and that are remembered forever. So, how do we make great games? By putting together the best teams and giving them the freedom and independence to succeed. And by taking risks, failing, sharing learnings https://supercell.com/en/news/learning-from-failures/, and killing lots of projects. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/0272a5b3-a7a2-4f1c-b97b-725eae66daf0/banner_narrow_people3.jpg] HEY, YOU MIGHT LOVE IT HERE! Independent cells and trust are at the core of our culture https://supr.cl/jd-why-you. But it takes more than that to make great games. We take good care of our people, providing them with the compensation, work environment, and resources they need to succeed while having fun along the way. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/49ae2117-cfbb-4fbd-bc4c-f67357d2f376/banner_narrow_titles.jpg] YOU ARE NOT YOUR JOB TITLE ™ Here, you won’t need to focus on chasing titles https://supr.cl/jd-job-title or climbing ladders. Internally, our job titles don’t include prefixes like Senior, Junior, Principal, or Director. Recognition isn’t tied to your title, as it doesn't define the impact you can have around here. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/860d5de4-aa96-4e01-879c-889b7039330b/banner_narrow_chest.jpg] BENEFITS AND COMPENSATION Luring you in with glitter, glamour, and gems isn't what we're about. We want you to enjoy your time here fully, so we structure our compensation and benefits https://supr.cl/jd-benefits with that in mind. It starts with perceiving you as a human being, not a resource. [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/b52ac2fb-3f94-46bc-9c36-32ad780b2eae/banner_narrow_relocating.jpg] RELOCATION? YES! No matter where you’re moving from, our dedicated mobility team and partners will support you throughout your move. We’ll ensure the process is as smooth as possible for you and anyone joining you – whether they’re family members of the human or animal kind! [https://app.ashbyhq.com/api/images/user-content/1246dead-d30e-4c70-a1d3-ef7e5023d542/58a0cf4e-e26b-461b-8541-2129dc6b7311/banner_narrow_portraits-2025-ashby.jpg] NOT SURE IF YOU SHOULD APPLY? Many candidates with great skills and experience second-guess themselves. The bar is high, but if this role excites you, apply! We’re here to help you succeed. Also, we're happy to learn about any specific accommodations you may need to fully engage in our recruitment process. Wishing you all the best, The Supercell Recruitment team", "summaryDescription" : "Market & Competitor Intelligence Analyst at Supercell. Skills: Market intelligence, Competitor analysis, Game deconstruction, Data analysis. Connect games to market. 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Support the wider team; Collaborating with cross-functional t", "domainKnowledge" : "In-Play betting; Online gambling; Sports betting; Trading platform", "domainList" : [ "in-play-betting", "online-gambling", "sports-betting", "trading-platform" ], "domainSpecificKnowledge" : [ "In-Play betting", "Online gambling", "Sports betting", "Trading platform" ], "toolProficiency" : [ "Looker Core", "LookML" ], "communicationSkills" : "Data presentation; Present research and analysis", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "Advanced degree in Information Science, Statistics, Mathematics, Economics or similar field of study, Experience with Google Cloud, BigQuery, and Looker Core, Advanced proficiency in Python and SQL languages, Proven experience delivering effective solutions through quantitative research, Self-motivated to research and deliver change, Demonstrated experience to in data analysis, interpretation, and presentation, Excellent communication skills with staff throughout the operation including key stakeholders and senior management, Experience mentoring and guiding junior team members", "qualificationsPreferred" : "Advanced LookML development, Data modeling, Creation of governed, self-service analytics environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our customers worldwide. As a Senior Business Intelligence Data Analyst you will drive decision making across the Business through complex dataset analysis and developing insights to support the next-generation trading platform. The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues. Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products. In this role you will support the wider team through guiding best practices and mentoring team members. The salary range for this position is $100,000-$130,000 annually. ## Qualifications * Advanced degree in Information Science, Statistics, Mathematics, Economics or similar field of study. * Experience with Google Cloud, BigQuery, and Looker Core, including advanced LookML. development, data modeling, and the creation of governed, self-service analytics environments. * Advanced proficiency in Python and SQL languages is essential. * Proven experience delivering effective solutions through quantitative research, using multiple data sources. * Self-motivated to research and deliver change within the department. * Demonstrated experience to in data analysis, interpretation, and presentation to guide decision making and problem solving. * Excellent communication skills with staff throughout the operation including key stakeholders and senior management. * Experience mentoring and guiding junior team members. ## Additional Information * Collecting, processing, and analyzing large datasets using various tools and techniques. * Developing and maintaining dashboards and other data products. * Instilling accurate and effective reporting channels. * Presenting research and analysis in a clear and concise manner to a variety of stakeholders and levels. * Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions. * Guide and mentor team members on analytical methodologies and best practices. bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.", "summaryDescription" : "Senior Business Intelligence Data Analyst at bet365. Skills: Business Intelligence, Data Analysis, Data Visualization. Drive decision making across the Business through complex. Develop insights to support the next-generation trading platform", "postedDate" : "2026-06-12T17:13:29.000", "createdAt" : "2026-06-14T05:19:10.756", "lastUpdated" : "2026-06-15T05:27:30.189", "ingestTimestamp" : "2026-06-14T05:19:10.756", "mongoId" : "6a2c9eed74d8ee00a099ef0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 130000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical knowledge", "Data visualization", "Mentoring", "Business Intelligence", "Data Analysis", "Data Visualization", "Quantitative research", "Data analysis", "Data interpretation", "Data presentation", "In-Play betting", "Online gambling", "Sports betting", "Trading platform", "Looker Core", "LookML" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 852.43066, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports & Fitness", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c767e74d8ee00a093a1f6", "title" : "Senior Healthcare Data Analyst - Analytics", "company" : "Qualified Health", "industry" : "Data Engineering", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:02:16.190", "fingerprint" : "0abbb1d84b4df4cafa9b4f6b273dff83c581cf58d173d5815ae2e74fa7bf83d4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/qualified-health-pbc/46ccd928-2aaf-4b74-bab3-02b4698e46dc/application", "externalId" : "46ccd928-2aaf-4b74-bab3-02b4698e46dc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage BI dashboards, Perform complex data analysis, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Optimize data infrastructure for performance and scalability, Stay updated on emerging data technologies", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Healthcare data; Clinical data; Healthcare analytics", "domainList" : [ "healthcare-data", "clinical-data", "healthcare-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Clinical data", "Healthcare analytics" ], "toolProficiency" : [ "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Explain complex concepts", "documentationSkills" : "Technical documentation; Data dictionaries", "problemSolvingSkills" : "Analytical problem solving; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. JOB SUMMARY: Qualified Health is seeking a Senior Healthcare Data Analyst to help our customers and internal teams understand, measure, and communicate the impact of our AI-powered solutions. This role sits at the intersection of healthcare analytics, clinical informatics, and data strategy, serving as the critical link between clinical workflows, source data systems, and the insights that demonstrate value to our health system partners. You will work directly with clinical, technical, and operational stakeholders to translate healthcare data into meaningful measures of clinical, financial, and operational impact. A deep understanding of Epic and healthcare data structures is essential, as much of the evidence demonstrating Qualified Health's success originates from EHR systems and clinical source data. This is a highly visible role with the opportunity to influence product strategy, support customer success, contribute to new product development initiatives, and present insights that are consumed across the organization and by executive stakeholders at leading health systems. KEY RESPONSIBILITIES: Analytics & Value Measurement - Develop reporting frameworks that quantify the clinical, operational, and financial impact of Qualified Health's products. - Build executive-level dashboards, analyses, and value reports that demonstrate ROI and customer outcomes. - Connect clinical data, utilization metrics, workflow performance, and operational KPIs to generate actionable insights. - Identify trends and opportunities that help customers understand the value generated through AI-driven interventions. Clinical Data & Epic Expertise - Translate complex clinical concepts and workflows into structured data models and reporting frameworks. - Leverage deep knowledge of Epic data structures to ensure accurate interpretation of source data and outcome measures. - Partner with customer clinical informatics and analytics teams to understand source systems, validate assumptions, and ensure reporting accuracy. - Reconcile data definitions across organizations and establish standardized approaches for outcome measurement. Data Analysis & Query Development - Develop complex SQL queries to extract, transform, and analyze healthcare data across multiple sources. - Design analytical methodologies that connect patient-level clinical activity to measurable business outcomes. - Navigate large, complex healthcare datasets to uncover insights and answer strategic business questions. - Partner with data engineering teams to ensure data pipelines support reporting and analytics needs. Data Quality & Governance - Establish quality assurance frameworks and validation processes to ensure reporting accuracy. - Develop and maintain data dictionaries, metric definitions, and reporting standards. - Monitor data quality and proactively identify issues that may impact analyses or customer reporting. REQUIRED QUALIFICATIONS: - 5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures - Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes - Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems - EHR Systems Expertise: Hands-on experience with Epic EHR platform is required. Exposure to other EHR platforms (Cerner, AllScripts, or NextGen) is helpful. - Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems - Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes - Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects - Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats - Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences - Bachelor's degree in Health Informatics, Healthcare Administration, Data Science, or related field DESIRABLE SKILLS: - Clinical Background: Clinical training, HIM certification, or formal healthcare informatics education - FHIR Implementation Experience: Hands-on experience with FHIR mapping and transformation projects - Epic Certification: Cogito, Caboodle, Clarity, or Chronicles training and certification - Regulatory Knowledge: Understanding of HIPAA, HITECH, and healthcare data governance requirements - Analytics Tools: Proficiency in Python, R, Tableau, or similar analytical platforms - Project Management: Experience leading cross-functional data mapping initiatives - Master's degree in relevant field - Professional certifications in health informatics (RHIA, CHPS, or similar) TECHNICAL ENVIRONMENT: You'll work with healthcare data from diverse sources including: - Epic (Clarity, Chronicles, FHIR APIs) - Cerner, AllScripts, and other major EHR platforms - Claims data (CMS, commercial payers) - Clinical registries and specialty systems - FHIR R4 and legacy HL7 formats IMPACT & GROWTH OPPORTUNITY: As a Senior Healthcare Data Analyst at Qualified Health, you'll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care. This role offers significant growth potential as we expand across diverse healthcare organizations and clinical use cases. Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $120,000 and $160,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.", "summaryDescription" : "Senior Healthcare Data Analyst - Analytics at Qualified Health. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "createdAt" : "2026-06-14T20:16:55.506", "lastUpdated" : "2026-06-16T03:02:16.190", "ingestTimestamp" : "2026-06-14T20:16:55.506", "mongoId" : "6a2c767e74d8ee00a093a1f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Healthcare data", "Clinical data", "Healthcare analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 851.33417, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca56674d8ee00a09b6277", "title" : "Jr. Intelligence Research Analyst", "company" : "Dynamis, Inc.", "location" : "Contract On-Site", "locations" : [ "Contract On-Site" ], "timestamp" : "2026-06-15T07:04:28.723", "fingerprint" : "90f5383905b87621d083db6969fa4f019fe27fc84ae0f8094845bcb52621e317", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynamisinc/jobs/4688980006", "externalId" : "4688980006", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Junior", "technicalSkills" : "Bank Secrecy Act", "professionalSkills" : [ "financial crimes intelligence domain" ], "hardSkillsList" : [ "Top Secret Clearance", "U. S. Citizenship" ], "softSkillsList" : [ "Detail-oriented" ], "hardSkills" : [ { "name" : "Top Secret Clearance", "level" : "intermediate" }, { "name" : "U. S. Citizenship", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Detail-oriented" } ], "majorSkills" : "Intelligence Research, Financial Crimes, Written Communication, Problem Solving", "majorSkillsList" : [ "Intelligence Research, Financial Crimes, Written Communication, Problem Solving" ], "coreResponsibilities" : "Research intelligence and all-source information to identify individuals and entities involved in illicit activity, along with their sources and methods of financial, material, and logistical support. Create reports synthesizing intelligence and all-source information on specific individuals and entities suspected of providing financial or other illicit support. Research illicit finance methodologies and anti-money laundering (AML) regimes in targeted jurisdictions. Produce financial intelligence products of varying lengths, styles, and formats, including long- and short-term research products, briefing materials, and research summaries. Communicate complex findings in concise, plain-language descriptions for audiences unfamiliar with the subject matter. Participate, in limited cases, in working meetings with FinCEN customers to gather information or present research findings.", "communicationSkills" : "written communication", "documentationSkills" : "briefing materials; research summaries", "problemSolvingSkills" : "problem-solve", "specialRequirements" : "Top Secret Clearance. U. S. Citizenship.", "qualificationsBasic" : "Bachelor’s degree required. The ability to problem-solve in a time-constrained environment and meet schedules. 1–3 years of relevant experience, or equivalent education, demonstrating knowledge of the processes used to research and analyze intelligence and finance-related intelligence. Familiarity with financial crimes intelligence domain through self-study, prior experience, or on-the-job training. written communication skills, with the ability to distill complex material into short, plain-language products. Demonstrated time management and prioritization skills, with Detail-oriented work habits and the ability to adjust to changing environments, priorities, formats, and standards. Understanding proper contractor/government interaction protocols, including awareness that contractors do not work directly for the Government.", "qualificationsPreferred" : "Prior experience using FinCEN’s data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Dynamis is seeking a Junior Intelligence Research Analyst to support FinCEN's mission to combat financial crimes—including terrorist financing, proliferation financing, cyber-crime, and complex money laundering—by researching and analyzing Bank Secrecy Act (BSA) data and other Government-provided data sources. Backed by Dynamis's deep bench of financial intelligence expertise, the analyst produces written financial intelligence products that support policy makers, law enforcement, regulators, and other FinCEN customers, working under the technical direction of FinCEN Program Managers. Responsibilities: Research intelligence and all-source information to identify individuals and entities involved in illicit activity, along with their sources and methods of financial, material, and logistical support. Create reports synthesizing intelligence and all-source information on specific individuals and entities suspected of providing financial or other illicit support. Research illicit finance methodologies and anti-money laundering (AML) regimes in targeted jurisdictions. Produce financial intelligence products of varying lengths, styles, and formats, including long- and short-term research products, briefing materials, and research summaries. Communicate complex findings in concise, plain-language descriptions for audiences unfamiliar with the subject matter. Participate, in limited cases, in working meetings with FinCEN customers to gather information or present research findings Requirements: Top Secret Clearance U. S. Citizenship Bachelor’s degree required The ability to problem-solve in a time-constrained environment and meet schedules.1–3 years of relevant experience, or equivalent education, demonstrating knowledge of the processes used to research and analyze intelligence and finance-related intelligence. Familiarity with financial crimes intelligence domain through self-study, prior experience, or on-the-job training. Strong written communication skills, with the ability to distill complex material into short, plain-language products. Demonstrated time management and prioritization skills, with Detail-oriented work habits and the ability to adjust to changing environments, priorities, formats, and standards. Understanding proper contractor/government interaction protocols, including awareness that contractors do not work directly for the Government. Preferred: Prior experience using FinCEN’s data", "summaryDescription" : "Jr. Intelligence Research Analyst at Dynamis, Inc.. Skills: Intelligence Research, Financial Crimes, Written Communication, Problem Solving. Research intelligence and all-source information to identify individuals and entities involved in illicit activity, along with their sources and methods of financial, material, and logistical support. Create reports synthesizing intelligence and all-source information on specific individuals and entities suspected of providing financial or other illicit sup", "postedDate" : "2026-06-14T19:25:43.588", "createdAt" : "2026-06-14T19:25:43.588", "lastUpdated" : "2026-06-15T07:04:28.723", "ingestTimestamp" : "2026-06-14T19:25:43.588", "mongoId" : "6a2ca56674d8ee00a09b6277", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Top Secret Clearance", "U. S. Citizenship", "Detail-oriented", "Intelligence Research, Financial Crimes, Written Communication, Problem Solving", "financial crimes intelligence domain" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "_score" : 850.7618, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26dcb", "title" : "Sr. Sales Manager, US LCS Non Endemic", "company" : "Amazon Advertising LLC", "industry" : "Sales, Advertising, Account Management, Ad Sales", "salary" : { "min" : 194700.0, "max" : 263300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T06:06:02.301", "fingerprint" : "cb1f11d76e675b590270762e1d1adf917828f8105e7bd04b31b0af8d1f5888fe", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449173/apply", "externalId" : "b7f6c932-a8dc-494e-b16a-152a185d0511", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Manager", "coreResponsibilities" : "Drive revenue growth, Manage client relationships, Develop sales strategies, Achieve sales targets, Identify new business opportunities, Collaborate with internal teams, Present solutions to clients, Negotiate contracts, Forecast sales performance, Provide market feedback", "teamCollaboration" : "Internal teams; Sales teams; Marketing teams; Product teams", "domainKnowledge" : "Advertising technology; E-commerce; Retail media", "domainList" : [ "advertising-technology", "e-commerce", "retail-media" ], "domainSpecificKnowledge" : [ "Advertising technology", "E-commerce", "Retail media" ], "communicationSkills" : "Client presentations; Sales pitches", "outcomesObjectives" : "Achieve sales targets; Drive revenue growth; Expand client base", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Advertising is dedicated to driving measurable outcomes for advertisers and agencies. Our ad solutions—including streaming tv, display, video, audio and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. As a Sr. Sales Manager on our US Large Customer Sales Non Endemic team, you will use your 12+ years’ experience selling digital advertising solutions to the Fortune 500 C-Level and their ad agencies to successfully grow and scale the team's category’s domestic revenues. With your broad and long-standing client-side and agency relationships within the digital advertising world, consultative approach and deep understanding of the digital advertising landscape, you will manage a team and act as a strategic partner to your assigned clients and sell a broad range of advertising solutions that will ensure that their business goals are met. This role will require in-office presence and travel as needed. Basic Qualifications: - 12+ years of B2B sales experience - Experience managing teams who deliver on defined goals and timelines - Experience managing teams Preferred Qualifications: - Experience consistently closing sales and generating revenues - Experience that includes strong analytical skills, attention to detail, and effective communication abilities Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 194,700.00 - 263,300.00 USD annually", "summaryDescription" : "Sr. Sales Manager, US LCS Non Endemic at Amazon Advertising LLC. Drive revenue growth. Manage client relationships", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:57:35.191", "lastUpdated" : "2026-06-16T06:06:02.301", "ingestTimestamp" : "2026-06-15T21:57:35.191", "mongoId" : "6a305649f292fd229cf26dcb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449173/apply", "salaryAnnualMin" : 194700, "salaryAnnualMax" : 263300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Advertising technology", "E-commerce", "Retail media" ], "skillCount" : 3, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 850.4415, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5e6a74d8ee00a08e3dce", "title" : "Business Intelligence Analyst", "company" : "LekkeSlaap", "industry" : "Leisure, Travel & Tourism", "salary" : { "min" : 565000.0, "max" : 845000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence Analyst in Cape Town, South Africa, adjusted for the Technology industry and a mid-sized company." }, "location" : "Cape Town, Western Cape, South Africa", "locations" : [ "Cape Town, Western Cape, South Africa" ], "timestamp" : "2026-06-14T22:21:17.004", "fingerprint" : "f05d0aba18ac0cabbe159e022b81920e820eb3858002447688d7338a4568aac2", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/5F09384ADD/apply", "externalId" : "5F09384ADD", "industryFunction" : { }, "locationPoint" : "-33.92584,18.42322", "structuredLocations" : [ { "city" : "Cape Town", "state" : "Western Cape", "country" : "South Africa", "continent" : "af", "source" : "llm", "workMode" : "hybrid", "geo" : "-33.9288301,18.4172197" } ], "locationText" : "Cape Town, Western Cape, South Africa", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Google Analytics, GA4, Google BigQuery", "professionalSkills" : [ "Business intelligence", "Data analysis", "Market intelligence", "Commercial performance", "Operational efficiency", "Strategic decision-making", "Customer behaviour", "Market trends", "Competitive activity", "Emerging technologies", "Business outcomes", "Commercial data", "Digital analytics", "Booking data", "Performance analysis", "Behavioural data" ], "hardSkillsList" : [ "Data modelling", "Data querying", "Data analysis", "Reporting", "Dashboarding", "Data integrity", "Data validation", "AI tools", "Automation" ], "softSkillsList" : [ "Commercial curiosity", "Problem-solving mindset", "Adaptability", "Urgency & ownership", "Continuous learning", "Attention to quality" ], "hardSkills" : [ { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Data querying", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "AI tools", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Commercial curiosity" }, { "name" : "Problem-solving mindset" }, { "name" : "Adaptability" }, { "name" : "Urgency & ownership" }, { "name" : "Continuous learning" }, { "name" : "Attention to quality" } ], "majorSkills" : "Business Intelligence, Data Analysis, AI Automation", "majorSkillsList" : [ "Business Intelligence", "Data Analysis", "AI Automation" ], "coreResponsibilities" : "Investigate trends, anomalies, and opportunities, Translate findings into practical recommendations, Identify opportunities for growth, optimisation, and innovation, Analyse customer behaviour, market trends, competitor activity, Surface insights that help prioritise investments, Design, maintain, and improve dashboards and recurring reporting, Identify opportunities to introduce AI-assisted workflows, Identify inconsistencies, gaps, and risks in data, Partner with stakeholders to understand their questions, Shape analysis and communicate findings clearly, Explore what is changing in the business, Maintain documentation around key metrics, Contribute to better analytical practices, Contribute to reporting habits, Contribute to the data roadmap", "teamCollaboration" : "Cross-functional collaboration; Product, Engineering, Finance, Marketing; Business units; Technical and non-technical stakeholders", "domainKnowledge" : "Digital analytics; Booking performance; Commercial performance; Customer behaviour; Market trends; Competitive insights; Travel technology; E-commerce; Hospitality; Marketplace environment", "domainList" : [ "digital-analytics", "booking-performance", "commercial-performance", "customer-behaviour", "market-trends", "competitive-insights", "travel-technology", "e-commerce", "hospitality", "marketplace-environment" ], "domainSpecificKnowledge" : [ "Digital analytics", "Booking performance", "Commercial performance", "Customer behaviour", "Market trends", "Competitive insights", "Travel technology", "E-commerce", "Hospitality", "Marketplace environment" ], "toolProficiency" : [ "Metabase", "Grafana", "Power BI" ], "communicationSkills" : "Explain complex findings", "documentationSkills" : "Maintain documentation", "continuousLearning" : "Learning new tools; Learning technologies; Learning ways of working", "innovationCreativity" : "Identify opportunities for AI and automation; Identify opportunities for growth, optimisation, and innovation; Identify opportunities for smarter alerts, workflows, and predictive use cases", "problemSolvingSkills" : "Investigate issues; Answer business questions; Problem investigation; Root cause analysis", "outcomesObjectives" : "Improve customer experience; Improve commercial performance; Improve operational efficiency; Support better business outcomes; Prioritise investments and strategic initiatives; Improve internal processes; Improve analytical workflows; Improve business performance; Strengthen governance, privacy, responsible AI usage; Strengthen trust in business-critical metrics; Deliver useful outcomes", "qualificationsBasic" : "3+ years of proven experience, Strong modelling & querying capability, Experience building dashboards and reports, Strong analytical thinking, Experience with data warehousing, Experience working with digital, market and commercial data, Experience using both internal and external datasets, Ability to assess data quality and integrity, Strong communication skills", "qualificationsPreferred" : "Experience working closely with Marketing or Growth teams, Experience with Google Analytics / GA4 / Google BigQuery, Experience in travel, e-commerce, hospitality, or other high-volume consumer environments", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "\uD83E\uDD1D Bring 3+ years of proven experience in business intelligence, analytics, data analysis, \uD83D\uDCC8 Turn data into practical insight across marketing, product, and broader business operations \uD83E\uDD16 Identify opportunities for AI and automation to improve workflows \uD83D\uDD01 Work cross-functionally with Product, Engineering, Finance, Marketing, and other business units to solve real problems \uD83D\uDCCD V&A Waterfront, Cape Town (hybrid) **LekkeSlaap** is South Africa’s leading accommodation booking app, known for its user-friendliness, exceptional customer experience, and extensive local accommodation options. Owned by **Tripco** , a travel technology company based in the V&A Waterfront, Cape Town, LekkeSlaap is committed to innovation, best-in-class customer service, and setting new standards in travel technology. As a **Business Intelligence Analyst** at Tripco, you’ll play a key role in helping the business use data more practically, proactively, and effectively. You’ll work closely with stakeholders across various business functions to turn data into clear insights, stronger decision-making, and real business value, with the opportunity to help shape and grow the data function over time. You’ll help the business not only understand what has happened, but also identify what should happen next. You’ll proactively seek out opportunities, inefficiencies, emerging trends, competitive insights, and areas of risk by combining internal and external data sources to support better business outcomes. This role is suited to someone who is not only strong technically, but also highly commercial and curious. You should enjoy investigating patterns, spotting opportunities, challenging assumptions, and turning complex information into clear recommendations that people can act on. You’ll also play an active role in identifying opportunities to use AI-driven tools and automation to improve internal workflows, analysis, and business performance as the industry continues to evolve. ### Our Environment You’ll work across a varied data and analytics environment, likely including: * **Business Intelligence & Reporting: **BI tools, dashboards, recurring reporting, and ad hoc analysis * **Data & Analytics: **SQL-based data sources, digital analytics, booking and commercial performance data * **Marketing & Growth: **Google Analytics / GA4, campaign and funnel performance, channel and conversion insight * **AI, Data & Automation:** Active use of AI-driven tools, automation, and data-informed solutions to improve internal processes, analytical workflows, and business decision-making * **Cross-functional collaboration:** Close partnership with Product, Engineering, Finance, Marketing, and Operational teams to translate business questions into clear analysis and action ### Responsibilities * **Business Insight & Analysis: **Investigate trends, anomalies, and opportunities across the business and wider market, translating findings into practical recommendations that improve customer experience, commercial performance, operational efficiency, and strategic decision-making. * **Opportunity Discovery & Market Intelligence: **Proactively identify opportunities for growth, optimisation, and innovation by analysing customer behaviour, market trends, competitor activity, operational performance, and emerging technologies. Surface insights that help the business prioritise investments and strategic initiatives. * **Reporting & Dashboarding:** Design, maintain, and improve dashboards and recurring reporting that are clear, trusted, and genuinely useful to stakeholders. * **AI & Automation Enablement:** Actively identify opportunities to introduce AI-assisted workflows, automation, and smarter analytical processes to improve efficiency and business impact. * **Data Integrity & Validation:** Identify inconsistencies, gaps, and risks in data, reporting, tracking, modelling, and querying, helping strengthen governance, privacy, responsible AI usage, and trust in business-critical metrics. * **Stakeholder Engagement:** Partner with stakeholders across the business to understand their questions, shape analysis, and communicate findings clearly. * **Problem Investigation:** Proactively find the needle in the haystack by exploring what is changing in the business and around it, why it is changing, and what should happen next. * **Documentation:** Maintain clear and practical documentation around key metrics, reporting logic, definitions, and analytical context to support consistency and better decision-making. * **Continuous Improvement:** Contribute to better analytical practices, reporting habits, and the data roadmap, strengthening the use of data across the business. **Requirements** ### Behavioural competencies * **Collaboration:** Thrives in a team environment, working effectively across multiple disciplines and building strong relationships with both technical and non-technical stakeholders. * **Commercial curiosity:** Naturally asks smart questions, looks for underlying drivers, and cares about how data can create practical business value. * **Problem-solving mindset:** Approaches challenges with a doer mentality, balancing analysis, judgment, and hands-on execution to deliver useful outcomes. * **Adaptability:** Comfortable working in a fast-moving environment, handling ambiguity, and learning new tools, technologies, and ways of working as the business evolves. * **Urgency & ownership:** Biased to action and manages workload effectively, takes initiative, and takes full ownership of analysis, outputs, and follow-through. * **Continuous learning:** Proactively keeps skills and knowledge current, with strong interest in data, AI, automation, and evolving analytics practices. * **Attention to quality:** Committed to producing accurate, thoughtful, and well-structured work that stakeholders can trust and act on. ### Functional experience & competencies * **3+ years of proven experience** in business intelligence, analytics, data analysis, or a similar role, ideally in a commercial, digital, e-commerce, travel, hospitality, or marketplace environment * **Strong modelling & querying capability** with the ability to work independently with data, investigate issues, and answer business questions with confidence * **Experience building dashboards and reports** that support decision-making, using BI tools such as Metabase, Grafana and Power BI or similar * **Strong analytical thinking** with the ability to spot patterns, identify root causes, and translate findings into practical recommendations & outcomes * **Experience with data warehousing** , and working closely with more technical data or engineering teams * **Experience working with digital, market and commercial data** , including funnel performance, customer behaviour, campaign results, and business metrics * **Experience using both internal and external datasets** to identify business opportunities, market trends, competitive insights, and areas of operational improvement. * **Ability to assess data quality and integrity** , and to recognise when numbers, tracking, or reporting may be unreliable or incomplete * **Strong communication skills** with the ability to explain complex findings clearly to non-technical stakeholders * **Experience applying AI tools and automation** to improve reporting, analysis, and decision support, including identifying opportunities for smarter alerts, workflows, and predictive use cases. ### Bonus if you have: * Experience working closely with **Marketing or Growth teams** , especially in campaign, funnel, or performance analysis * Experience with **Google Analytics / GA4 / Google BigQuery** and an understanding of digital tracking, attribution, and behavioural data * Experience in **travel, e-commerce, hospitality, or other high-volume consumer environments** **Benefits** ### Benefits * Hybrid work model & flexible start times * Free lunch when in office * Modern offices based at the V&A Waterfront * Showers on site * Travel vouchers and discounts * Discovery medical aid contributions & Vitality Health membership * Retirement annuity contributions * High-end laptops and workstation setup for both in-office and WFH * Generous leave package * Half-day off every month * Digital nomad month (work from anywhere) * Regular team events and more! _We are committed to creating a diverse and inclusive workplace and encourage applications from all suitably qualified candidates, including persons with disabilities._", "summaryDescription" : "Business Intelligence Analyst at LekkeSlaap. Skills: Business Intelligence, Data Analysis, AI Automation. Investigate trends, anomalies, and opportunities. Translate findings into practical recommendations", "postedDate" : "2026-06-12T00:00:00.000", "createdAt" : "2026-06-12T22:31:40.958", "lastUpdated" : "2026-06-14T22:21:17.004", "ingestTimestamp" : "2026-06-12T22:31:40.958", "mongoId" : "6a2c5e6a74d8ee00a08e3dce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/5F09384ADD", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modelling", "Data querying", "Data analysis", "Reporting", "Dashboarding", "Data integrity", "Data validation", "AI tools", "Automation", "Commercial curiosity", "Problem-solving mindset", "Adaptability", "Urgency & ownership", "Continuous learning", "Attention to quality", "Business Intelligence", "Data Analysis", "AI Automation", "Business intelligence", "Market intelligence", "Commercial performance", "Operational efficiency", "Strategic decision-making", "Customer behaviour", "Market trends", "Competitive activity", "Emerging technologies", "Business outcomes", "Commercial data", "Digital analytics", "Booking data", "Performance analysis", "Behavioural data", "Booking performance", "Competitive insights", "Travel technology", "E-commerce", "Hospitality", "Marketplace environment", "Metabase", "Grafana", "Power BI" ], "skillCount" : 42, "jobCategory" : "other", "jobSubcategory" : "leisure-travel-tourism", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 849.63983, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Travel Technology" }, { "id" : "6a2cb0a074d8ee00a09da8cc", "title" : "Data Analyst, Business Intelligence", "company" : "Float", "industry" : "Engineering", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Toronto, Canada, adjusted for the FinTech industry." }, "location" : "Toronto, Canada", "locations" : [ "Toronto, Canada" ], "timestamp" : "2026-06-15T12:10:04.330", "fingerprint" : "f1fed9e8cfae52d5a6adea14230fa70fdbbe35f9c5ad9fc196572b449d894376", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/float/76755e3f-201a-459b-9d9a-9517e2dc06bc/application", "externalId" : "76755e3f-201a-459b-9d9a-9517e2dc06bc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Business intelligence", "Data modeling", "Metric definition" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Data governance", "SQL drafting" ], "softSkillsList" : [ "Curious", "Structured thinker" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "SQL drafting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Structured thinker" } ], "majorSkills" : "Business intelligence, Data analysis, Reporting infrastructure", "majorSkillsList" : [ "Business intelligence", "Data analysis", "Reporting infrastructure" ], "coreResponsibilities" : "Design core dashboards, Build core dashboards, Maintain core dashboards, Audit reporting infrastructure, Assign reporting ownership, Archive stale content, Set standard for good, Translate business requirements, Drive metric definition alignment, Use AI as multiplier, Build self-serve tooling, Scale analysis, Make BI accessible, Define metrics library, Maintain metrics library, Resolve discrepancies", "teamCollaboration" : "Analytics Engineer partnership; Cross-functional teams; Senior audiences", "domainKnowledge" : "Business finance; Canadian market", "domainList" : [ "business-finance", "canadian-market" ], "domainSpecificKnowledge" : [ "Business finance", "Canadian market" ], "toolProficiency" : [ "Snowflake", "AI" ], "communicationSkills" : "Written communication; Business context", "innovationCreativity" : "AI use", "problemSolvingSkills" : "Analytical frames; Investigating opportunities", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, Snowflake experience a plus, Python experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT FLOAT Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies https://www.theglobeandmail.com/business/rob-magazine/top-growing-companies/article-ranking-canadas-top-growing-companies-of-2024/ and top-rated startups in 2025 https://www.linkedin.com/posts/floatfinancial_were-proud-to-share-that-float-has-been-activity-7387093684720300032-2DDz/, 2024 https://www.linkedin.com/pulse/linkedin-top-startups-2024-15-canadian-companies-rise-linkedin-news-llihe/ and 2023 https://lnkd.in/TSU23CA, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple. At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success. OUR PRODUCT Float is Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 6000+ Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts and fast, friendly support—all built in Canada, for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs Alternatives and OMERS Ventures, partners behind our $70 million Series B raise https://floatfinancial.com/we-raised-70-million-to-fix-canadas-business-banking-problem/. Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada. AI USE IN OUR HIRING PROCESS We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team. ABOUT THE ROLE Float runs on data — and this role exists to make sure the business can see itself clearly. As our Data Analyst, Business Intelligence, you'll be the connective tissue between our data infrastructure and the decisions that leadership, Finance, RevOps, and GTM teams make every day. This isn't a support queue role — it's a strategic BI function. You'll own our reporting layer: designing, building, and governing the dashboards, metrics, and self-serve tools that let Float's teams move faster and with more confidence. You'll sit on the data team and work in close partnership with our Analytics Engineer, translating business questions into durable data products — not one-off answers. Where the analytics engineer builds the models and the pipelines, you build the intelligence layer on top: the dashboards, the metrics definitions, the reporting cadences, and the frameworks that turn clean data into business clarity. You're also someone who is curious and treats AI as a genuine part of how you work — using it to move faster, build more, and stretch the bounds of what a data team can actually do. You'll report to the Head of Data and partner closely with Finance, RevOps, GTM, Sales, and the Chief of Staff. WHAT YOU'LL BE DOING - Design, build, and maintain Float's core dashboards and reporting infrastructure — audit for quality, assign ownership, archive stale content, and set the standard for what good looks like - Work closely with the Analytics Engineer to translate business requirements into data models — write clear specs, validate outputs, and drive metric definition alignment across stakeholders before anything gets built - Use AI as a force multiplier — not just for drafting SQL, but for building self-serve tooling, scaling analysis and making BI more accessible to non-technical stakeholders. You bring the business context that makes AI outputs actually useful, and you know where the guardrails need to go. - Define and maintain Float's authoritative metrics library — what they measure, how they're calculated, and who owns them; surface and resolve discrepancies when Finance and RevOps aren't working from the same number - Partner with the Chief of Staff and Head of Data on QBRs, board prep, and performance reporting; turn leadership questions into clean analysis, and run exploratory deep dives to answer specific questions - Build a self-serve BI environment that reduces dependence on the data team — verified dashboards, documented metrics, and Metabase collections that Finance, Ops, Support, and Sales can navigate without filing a ticket - Flag data model gaps and quality issues to the analytics engineer; help prioritize infrastructure work based on business impact WHAT SUCCESS LOOKS LIKE - Land and Stabilize: BI and metric governance has a clear DRI — existing dashboards have been audited for accuracy and relevance, every key metric and report has a named owner, and outdated content has been archived. - Build the Infrastructure: The BI environment is structured and trustworthy — dashboards are verified, collections are logically organized, and AI has been used to build or scale something the team couldn't have done with headcount alone. - Enable the Flywheel: Self-serve is meaningfully better and ad-hoc request volume reflects it. Leadership is making faster decisions because they have someone who understands both the data and the business context. WHAT WE'RE LOOKING FOR - 2–4+ years of experience as a BI or business analyst, ideally at a high-growth fintech or SaaS company - Strong SQL — CTEs, window functions, aggregations; you write clean queries and can explain them to a non-technical stakeholder - Deep experience in a BI tool (Metabase, Looker, Tableau, or Sigma) — you've owned a BI environment. - Comfortable reading dbt models and understanding data lineage; prior dbt experience is not necessary but ability to contribute to dbt project is expected - Comfortable using AI tools as an accelerator — LLMs for SQL drafting, documentation, or structuring analysis; you know where they're useful and where they need guardrails - Structured thinker who turns ambiguous questions into clear analytical frames — and doesn't wait to be handed one. You spot what's worth investigating and drive it yourself. - Strong written communication — your analysis only lands if the narrative does - Proactive and collaborative — you share context before being asked and work with the analytics engineer, not around them - Genuinely curious about the business, not just the data - Experience supporting a senior audiences is a strong plus - Familiarity with Snowflake or a similar cloud warehouse is a plus - Python experience is a plus, particularly for automation or analysis outside of SQL OUR HIRING PHILOSOPHY We hire for character, curiosity, and learning velocity before credentials. Titles matter less than impact, and every hire is expected to raise the bar for Float as a whole. WHY YOU SHOULD JOIN - Work at one of Canada's fastest-growing fintech companies - Make a real impact in a high-autonomy, high-growth role - Collaborate with an ambitious and supportive team - Competitive compensation, equity options, and benefits - Hybrid work model – we are based in Toronto with in-office days for connection and collaboration - Enjoy catered team lunches every Tuesday, Wednesday and Thursday - Bring your pup to our dog-friendly office - Thrive in a high-trust, high-performance culture where your work truly matters IN SHORT At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you. We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic https://www.linkedin.com/in/victoria-boult-b21b2053/ (victoria@floatfinancial.com), and we’ll work with you to make sure you have what you need to succeed.", "summaryDescription" : "Data Analyst, Business Intelligence at Float. Skills: Business intelligence, Data analysis, Reporting infrastructure. Design core dashboards. Build core dashboards", "createdAt" : "2026-06-14T04:11:19.832", "lastUpdated" : "2026-06-15T12:10:04.330", "ingestTimestamp" : "2026-06-14T04:11:19.832", "mongoId" : "6a2cb0a074d8ee00a09da8cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Data governance", "SQL drafting", "Curious", "Structured thinker", "Business intelligence", "Reporting infrastructure", "Data modeling", "Metric definition", "Business finance", "Canadian market", "Snowflake", "AI" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 844.72894, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca07874d8ee00a09a24fa", "title" : "Data Analyst, Business Intelligence", "company" : "Float", "industry" : "Engineering", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Toronto, Canada, adjusted for the FinTech industry." }, "location" : "Toronto, Canada", "locations" : [ "Toronto, Canada" ], "timestamp" : "2026-06-15T05:24:10.543", "fingerprint" : "7db1e875dc7ffd69476d51eb5154030b12d4d8b130e5f0fcbc01b7cbd5f69617", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Float/76755e3f-201a-459b-9d9a-9517e2dc06bc/application", "externalId" : "76755e3f-201a-459b-9d9a-9517e2dc06bc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, AI", "professionalSkills" : [ "Business intelligence", "Data modeling", "Metric definition" ], "hardSkillsList" : [ "Data analysis", "Reporting", "Data governance", "SQL drafting" ], "softSkillsList" : [ "Curious", "Structured thinker" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "SQL drafting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Structured thinker" } ], "majorSkills" : "Business intelligence, Data analysis, Reporting", "majorSkillsList" : [ "Business intelligence", "Data analysis", "Reporting" ], "coreResponsibilities" : "Design core dashboards, Build core dashboards, Maintain core dashboards, Audit reporting infrastructure, Assign reporting ownership, Archive stale content, Set standard for good, Translate business requirements, Validate model outputs, Drive metric definition alignment, Use AI as multiplier, Build self-serve tooling, Scale analysis, Make BI accessible, Define metrics library, Maintain metrics library, Resolve discrepancies", "teamCollaboration" : "Analytics Engineer partnership; Cross-functional teams; Senior audiences", "domainKnowledge" : "Business finance; Cloud data warehouses", "domainList" : [ "business-finance", "cloud-data-warehouses" ], "domainSpecificKnowledge" : [ "Business finance", "Cloud data warehouses" ], "toolProficiency" : [ "Snowflake", "AI" ], "communicationSkills" : "Written communication; Business context", "innovationCreativity" : "AI use", "problemSolvingSkills" : "Analytical frames; Investigating", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, Snowflake experience a plus, Python experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT FLOAT Float is on a mission to simplify finance for Canadian businesses, empowering them to eliminate complexity and unlock new opportunities. Through our innovative platform, Float enables businesses to streamline financial operations and optimize cash flow, so they can focus on what matters most: growth. As one of Canada’s fastest growing companies https://www.theglobeandmail.com/business/rob-magazine/top-growing-companies/article-ranking-canadas-top-growing-companies-of-2024/ and top-rated startups in 2025 https://www.linkedin.com/posts/floatfinancial_were-proud-to-share-that-float-has-been-activity-7387093684720300032-2DDz/, 2024 https://www.linkedin.com/pulse/linkedin-top-startups-2024-15-canadian-companies-rise-linkedin-news-llihe/ and 2023 https://lnkd.in/TSU23CA, Float is customer-obsessed, passionate and entrepreneurial, with a team that includes leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and Wealthsimple. At Float, everyone is an owner, bringing their unique perspective to our team and product. Your voice is important, and we take having a culture based on feedback seriously. We openly share our thoughts and differing opinions so we can continue to improve. We do our best to keep our decision-making decentralized so that all team members feel ownership in our success. OUR PRODUCT Float is Canada's complete business finance platform, combining modern financial services and software to help businesses spend, save, and grow. Trusted by 6000+ Canadian companies, Float provides high-limit corporate cards, automated expense management, next-day bill payments, high-yield accounts and fast, friendly support—all built in Canada, for Canada. Float is backed by world-class venture and fintech investors, including Growth Equity at Goldman Sachs Alternatives and OMERS Ventures, partners behind our $70 million Series B raise https://floatfinancial.com/we-raised-70-million-to-fix-canadas-business-banking-problem/. Our team is a collection of ambitious, collaborative and mission-driven people from all walks of life but with one goal: helping Canadian companies not just survive but thrive. And we’re looking for bold innovators to help shape the future of business finance in Canada. AI USE IN OUR HIRING PROCESS We use technology, including artificial intelligence (AI), to support parts of our hiring process. This may include AI-assisted scheduling and candidate communications, and AI-generated interview notes, guides or summaries to help our team focus on the conversation. All hiring decisions are made by our hiring team. ABOUT THE ROLE Float runs on data — and this role exists to make sure the business can see itself clearly. As our Data Analyst, Business Intelligence, you'll be the connective tissue between our data infrastructure and the decisions that leadership, Finance, RevOps, and GTM teams make every day. This isn't a support queue role — it's a strategic BI function. You'll own our reporting layer: designing, building, and governing the dashboards, metrics, and self-serve tools that let Float's teams move faster and with more confidence. You'll sit on the data team and work in close partnership with our Analytics Engineer, translating business questions into durable data products — not one-off answers. Where the analytics engineer builds the models and the pipelines, you build the intelligence layer on top: the dashboards, the metrics definitions, the reporting cadences, and the frameworks that turn clean data into business clarity. You're also someone who is curious and treats AI as a genuine part of how you work — using it to move faster, build more, and stretch the bounds of what a data team can actually do. You'll report to the Head of Data and partner closely with Finance, RevOps, GTM, Sales, and the Chief of Staff. WHAT YOU'LL BE DOING - Design, build, and maintain Float's core dashboards and reporting infrastructure — audit for quality, assign ownership, archive stale content, and set the standard for what good looks like - Work closely with the Analytics Engineer to translate business requirements into data models — write clear specs, validate outputs, and drive metric definition alignment across stakeholders before anything gets built - Use AI as a force multiplier — not just for drafting SQL, but for building self-serve tooling, scaling analysis and making BI more accessible to non-technical stakeholders. You bring the business context that makes AI outputs actually useful, and you know where the guardrails need to go. - Define and maintain Float's authoritative metrics library — what they measure, how they're calculated, and who owns them; surface and resolve discrepancies when Finance and RevOps aren't working from the same number - Partner with the Chief of Staff and Head of Data on QBRs, board prep, and performance reporting; turn leadership questions into clean analysis, and run exploratory deep dives to answer specific questions - Build a self-serve BI environment that reduces dependence on the data team — verified dashboards, documented metrics, and Metabase collections that Finance, Ops, Support, and Sales can navigate without filing a ticket - Flag data model gaps and quality issues to the analytics engineer; help prioritize infrastructure work based on business impact WHAT SUCCESS LOOKS LIKE - Land and Stabilize: BI and metric governance has a clear DRI — existing dashboards have been audited for accuracy and relevance, every key metric and report has a named owner, and outdated content has been archived. - Build the Infrastructure: The BI environment is structured and trustworthy — dashboards are verified, collections are logically organized, and AI has been used to build or scale something the team couldn't have done with headcount alone. - Enable the Flywheel: Self-serve is meaningfully better and ad-hoc request volume reflects it. Leadership is making faster decisions because they have someone who understands both the data and the business context. WHAT WE'RE LOOKING FOR - 2–4+ years of experience as a BI or business analyst, ideally at a high-growth fintech or SaaS company - Strong SQL — CTEs, window functions, aggregations; you write clean queries and can explain them to a non-technical stakeholder - Deep experience in a BI tool (Metabase, Looker, Tableau, or Sigma) — you've owned a BI environment. - Comfortable reading dbt models and understanding data lineage; prior dbt experience is not necessary but ability to contribute to dbt project is expected - Comfortable using AI tools as an accelerator — LLMs for SQL drafting, documentation, or structuring analysis; you know where they're useful and where they need guardrails - Structured thinker who turns ambiguous questions into clear analytical frames — and doesn't wait to be handed one. You spot what's worth investigating and drive it yourself. - Strong written communication — your analysis only lands if the narrative does - Proactive and collaborative — you share context before being asked and work with the analytics engineer, not around them - Genuinely curious about the business, not just the data - Experience supporting a senior audiences is a strong plus - Familiarity with Snowflake or a similar cloud warehouse is a plus - Python experience is a plus, particularly for automation or analysis outside of SQL OUR HIRING PHILOSOPHY We hire for character, curiosity, and learning velocity before credentials. Titles matter less than impact, and every hire is expected to raise the bar for Float as a whole. WHY YOU SHOULD JOIN - Work at one of Canada's fastest-growing fintech companies - Make a real impact in a high-autonomy, high-growth role - Collaborate with an ambitious and supportive team - Competitive compensation, equity options, and benefits - Hybrid work model – we are based in Toronto with in-office days for connection and collaboration - Enjoy catered team lunches every Tuesday, Wednesday and Thursday - Bring your pup to our dog-friendly office - Thrive in a high-trust, high-performance culture where your work truly matters IN SHORT At Float, you’ll thrive if you’re bold, curious, and eager to make a real impact. We're building something special—and having a lot of fun along the way. If you’re excited to build, grow, and win together, we’d love to meet you. We’re committed to building a workplace that’s welcoming and accessible for everyone. If you need any accommodations during the hiring process or once you join Float, just let us know! You can reach out to Vic https://www.linkedin.com/in/victoria-boult-b21b2053/ (victoria@floatfinancial.com), and we’ll work with you to make sure you have what you need to succeed.", "summaryDescription" : "Data Analyst, Business Intelligence at Float. Skills: Business intelligence, Data analysis, Reporting. Design core dashboards. Build core dashboards", "createdAt" : "2026-06-13T21:34:53.787", "lastUpdated" : "2026-06-15T05:24:10.543", "ingestTimestamp" : "2026-06-13T21:34:53.787", "mongoId" : "6a2ca07874d8ee00a09a24fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Data governance", "SQL drafting", "Curious", "Structured thinker", "Business intelligence", "Data modeling", "Metric definition", "Business finance", "Cloud data warehouses", "Snowflake", "AI" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 838.745, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a21770a74d8ee00a0c1b9fa", "title" : "Senior Category Analyst, Category Analytics", "company" : "Amazon.com Services LLC", "industry" : "Buying, Planning, Instock Management, Planning/Development, worldwide grocery stores", "salary" : { "min" : 74300.0, "max" : 130100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Austin, Texas, USA", "locations" : [ "Austin, Texas, USA" ], "timestamp" : "2026-06-15T02:39:53.456", "fingerprint" : "168afff785a01380e9547dc6f2349a737dea77e1b88e34280c48b9046b7a5b00", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10435658/apply", "externalId" : "8b77d315-53fe-4415-b152-3b647b23a7e7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Tableau, Quicksight", "professionalSkills" : [ "Category management", "Assortment management", "Retail operations", "Business analysis", "Category analytics" ], "hardSkillsList" : [ "Advanced analytical methods", "Data analysis", "Data preparation", "Data synthesis", "Quantitative analysis" ], "hardSkills" : [ { "name" : "Advanced analytical methods", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business analysis, Category analytics", "majorSkillsList" : [ "Data analysis", "Business analysis", "Category analytics" ], "coreResponsibilities" : "Utilize advanced analytical methods, Identify patterns, relationships, and trends, Synthesize information, Construct data-driven narrative, Provide business-driving recommendations, Explain complex data, Connect results with problems, Support category-level insights, Support ad-hocs, Support reports, Collaborate with cross-functional partners, Act as project manager, Translate business questions into analyses, Inform business decisions, Align with business objectives", "teamCollaboration" : "Cross-functional partners; Analytics organization; Cross-functional Team Members", "projectManagementSkills" : [ "Project management", "Lead multiple projects" ], "domainKnowledge" : "Customer trends; Market trends; Industry trends", "domainList" : [ "customer-trends", "market-trends", "industry-trends" ], "domainSpecificKnowledge" : [ "Customer trends", "Market trends", "Industry trends" ], "toolProficiency" : [ "Excel", "Pivot Tables", "Macros", "SQL", "Tableau", "Quicksight" ], "communicationSkills" : "Tell a story with analysis; Explain complex data; Communicate structured information; Tailor communication approach; Lead meetings; Present information; Respond to questions", "problemSolvingSkills" : "Data-driven recommendations; Actionable insights", "qualificationsBasic" : "Bachelor's degree or equivalent, Bachelor's in quantitative discipline, 3+ years quantitative/financial analysis, 3+ years retail buying, 3+ years retail planning & allocation, 3+ years product/project management, 3+ years pricing, 3+ years marketing, 3+ years e-commerce experience, Experience with data analysis tools, Experience with Excel, Experience with Pivot Tables, Experience with macros, Experience with SQL, Experience with Tableau, Experience with Quicksight", "qualificationsPreferred" : "Experience in Grocery / CPG business", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As an Analytics Partner, you will be responsible for delivering data-driven and actionable recommendations through our category-level insights process to drive business decisions. The ideal candidate has the ability to “tell a story” with their analysis, built across a variety of data-sources (transactional, market, competitor, and customer) to help stakeholders achieve their business objectives. With a strong analytical skillset, relevant experience (category and assortment management, retail operations, business analysis, etc), and knowledge of the Whole Foods Market product mix you will thrive in this role that is the ideal combination of art and science. Key job responsibilities • Utilizes advanced analytical methods to identify patterns, relationships, and trends across multiple data sources. Synthesizes information to construct a data-driven narrative with business-driving recommendations that can be understood and actioned-upon by a broad audience. • Explains complex data and analytical approaches in simple terms that connect results with merchandising, customer, competitive, and marketing problems. • Supports category-level insights, ad-hocs, and reports as needed. • Collaborates with cross-functional partners across the analytics organization (assortment analytics, pricing, promotion, etc) and acts as project manager to translate stakeholder business questions into analyses that inform business decisions and align with business objectives. Skills: • Experience using multiple large enterprise databases to query and prepare data for analysis. • Strong ability to translate data into actionable analytical insights which drive business decisions. • Understands customer, market, and industry trends and emerging challenges. • Demonstrates strong knowledge of the Whole Foods Market product mix, supply base, and retail operations. • Communicates structured information in a clear, concise, and organized fashion. Tailors communication approach to specific situations and audiences. • Able to effectively lead meetings, present information, and respond to questions in both one-on-one situations and group meetings. • Advanced ability to plan, estimate, organize, and lead multiple projects. • Collaborates with stakeholders and cross-functional Team Members at various levels of the organization to achieve business objectives by required deadlines. • Builds trust and nurtures relationships with senior-level stakeholders and leaders. • Impacts overall team effectiveness. • May provide informal support to less experienced Team Members. Basic Qualifications: - Bachelor's degree or equivalent - Bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, computer science, or any related quantitative field - 3+ years of doing one of several roles: quantitative/financial analysis, retail buying, retail planning & allocation, product/project management, pricing, marketing or e-commerce experience - Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. Preferred Qualifications: - Experience in the Grocery / CPG business Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TX, AUSTIN - 74,300.00 - 130,100.00 USD annually", "summaryDescription" : "Senior Category Analyst, Category Analytics at Amazon.com Services LLC. Skills: Data analysis, Business analysis, Category analytics. Utilize advanced analytical methods. Identify patterns, relationships, and trends", "postedDate" : "2026-06-13T04:57:41.153", "createdAt" : "2026-06-13T04:57:41.153", "lastUpdated" : "2026-06-15T02:39:53.456", "ingestTimestamp" : "2026-06-13T04:57:41.153", "mongoId" : "6a21770a74d8ee00a0c1b9fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10435658/apply", "salaryAnnualMin" : 74300, "salaryAnnualMax" : 130100, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Advanced analytical methods", "Data analysis", "Data preparation", "Data synthesis", "Quantitative analysis", "Business analysis", "Category analytics", "Category management", "Assortment management", "Retail operations", "Project management", "Lead multiple projects", "Customer trends", "Market trends", "Industry trends", "Excel", "Pivot Tables", "Macros", "SQL", "Tableau", "Quicksight" ], "skillCount" : 21, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 834.9488, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a67fc74d8ee00a06327b3", "title" : "Junior Intelligence Analyst", "company" : "T-Rex Solutions", "salary" : { "min" : 40000.0, "max" : 50000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Tysons Corner, Virginia, United States", "locations" : [ "Tysons Corner", "Virginia", "United States" ], "timestamp" : "2026-06-14T22:14:52.082", "fingerprint" : "d1161f5572040df69f62e950be32b0cbce25481d3c7954cd08d41746f38fd838", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.trexsolutionsllc.com/current-opportunities-at-trex/?gh_jid=8372437002", "externalId" : "8372437002", "structuredLocations" : [ { "city" : "Sterling", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.0036850,-77.4083096" } ], "locationText" : "Sterling, Virginia, United States", "minimumEducation" : "Associate's", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "OSINT", "professionalSkills" : [ "Intelligence analysis", "Threat analysis" ], "hardSkillsList" : [ "Report generation", "Status violation identification" ], "hardSkills" : [ { "name" : "Report generation", "level" : "intermediate" }, { "name" : "Status violation identification", "level" : "intermediate" } ], "majorSkills" : "Intelligence analysis, OSINT research", "majorSkillsList" : [ "Intelligence analysis", "OSINT research" ], "coreResponsibilities" : "Conduct research across databases, Identify and document status violations, Generate accurate reports, Collaborate with team members, Stay updated on threats", "teamCollaboration" : "Collaborate with team members", "domainKnowledge" : "National security; Visa violations; Counterterrorism; Criminal exploitation", "domainList" : [ "national-security", "visa-violations", "counterterrorism", "criminal-exploitation" ], "domainSpecificKnowledge" : [ "National security", "Visa violations", "Counterterrorism", "Criminal exploitation" ], "documentationSkills" : "Report generation", "continuousLearning" : "Ongoing training; Professional development", "problemSolvingSkills" : "Meticulous research", "specialRequirements" : "Current Secret Clearance, U. S. Citizenship", "outcomesObjectives" : "Meet daily quotas for report generation", "qualificationsBasic" : "Bachelor's degree or 3 years experience, 1 year research experience, Current Secret Clearance (DoD), U. S. Citizenship", "qualificationsPreferred" : "Associate's Degree and 3 years experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "T-Rex Solutions, a leader in mission-focused solutions, is seeking a dedicated Junior Intelligence Analyst to join our dynamic team in Sterling, VA. At T-Rex, we play a crucial role in supporting the Department of Homeland Security (DHS) Immigration and Customs Enforcement (ICE) Counterterrorism and Criminal Exploitation Unit. Our analysts are at the forefront of safeguarding national security, investigating non-immigrant visa violations, and monitoring known or suspected terrorists and their associations. If you're passionate about making a difference and thrive in a challenging yet rewarding environment, this is the career opportunity for you. Join us in shaping the future of national security! As a Junior Intelligence Analyst, you will play a pivotal role in maintaining the integrity of our national security system. Your primary responsibility will be to compile reports that determine the legal status of visitors and students who entered the country on specific visas. This role requires meticulous research using a wide array of government and open-source (OSINT) databases to identify status violations. In line with our mission objectives, you will be expected to meet daily quotas for report generation. Why Choose T-Rex Solutions? Be part of a mission-driven team dedicated to national security. Access to ongoing training and professional development opportunities. Competitive compensation and benefits package. Collaborative and inclusive work environment. Opportunities for career advancement and growth. If you are ready to make a significant impact on national security and have the qualifications and commitment required for this position, we encourage you to apply! Responsibilities: Conduct in-depth research across 22 government and open-source (OSINT) databases to identify and document status violations. Generate accurate and comprehensive reports on the legal status of individuals with specific visas. Collaborate effectively with team members to achieve mission goals and objectives. Stay updated on emerging threats and trends in the field of national security. Requirements: Current Secret Clearance (DoD) required Bachelor of Arts or Science degree and a minimum of one (1) year of experience in research, intelligence or threat analysis. However, candidates with an Associate's Degree and three (3) years' experience in intelligence and threat analysis will also be considered. U. S. Citizenship is a requirement for this role. T-Rex Overview Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering. T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits. T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors. In compliance with pay transparency guidelines, the annual base salary range for this position is $40,000 - $50,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.", "summaryDescription" : "Junior Intelligence Analyst at T-Rex Solutions. Skills: Intelligence analysis, OSINT research. Conduct research across databases. Identify and document status violations", "postedDate" : "2026-06-11T20:29:34.801", "createdAt" : "2026-06-11T20:29:34.801", "lastUpdated" : "2026-06-14T22:14:52.082", "ingestTimestamp" : "2026-06-11T20:29:34.801", "mongoId" : "6a2a67fc74d8ee00a06327b3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 40000, "salaryAnnualMax" : 50000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Report generation", "Status violation identification", "Intelligence analysis", "OSINT research", "Threat analysis", "National security", "Visa violations", "Counterterrorism", "Criminal exploitation" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "dhs-vlvi", "dataQualityScore" : 0.8888889, "_score" : 828.9235, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "68c2e420f8b1b0376634c506", "title" : "Business Intelligence Engineer, Data Services & Analytics", "company" : "Amazon.com Services LLC", "industry" : "Data Science, Business Intel Engineer, Cloud Computing", "salary" : { "min" : 89600.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T04:41:55.101", "fingerprint" : "14475c1077233c4e3c3f507a4180cec6e846d38900695c02089883ccfba023c1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3076542/apply", "externalId" : "10f13945-fec2-4c58-be0f-11e2f4ed2f7a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, SQL, Python, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Statistical analysis", "Data visualization", "Data engineering" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Data warehousing", "ETL development", "Statistical analysis", "Data visualization", "Python scripting" ], "softSkillsList" : [ "Analytical", "Strategic" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Python scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Strategic" } ], "majorSkills" : "Data engineering, Data pipelines, Data analysis", "majorSkillsList" : [ "Data engineering", "Data pipelines", "Data analysis" ], "coreResponsibilities" : "Interface with PMs, Interface with business customers, Interface with software developers, Understand requirements, Implement solutions, Design data pipelines, Develop data pipelines, Operate data pipelines, Explore AWS big data technologies, Evaluate software products, Make decisions on software products, Design data architecture, Recognize best practices, Adopt best practices, Process data, Report data, Analyze data, Ensure data integrity, Design test data, Validate data, Document data processing", "teamCollaboration" : "Product managers; Software development engineers; Business intelligence engineers; Operation managers; Leaders", "domainKnowledge" : "Data lake; Data warehouse; AWS technologies; Big data", "domainList" : [ "data-lake", "data-warehouse", "aws-technologies", "big-data" ], "domainSpecificKnowledge" : [ "Data lake", "Data warehouse", "AWS technologies", "Big data" ], "toolProficiency" : [ "Redshift", "Oracle", "NoSQL", "Tableau", "Quicksight", "R", "SAS", "Matlab", "SQL", "Python", "AWS" ], "documentationSkills" : "Documentation", "continuousLearning" : "Learn latest AWS technologies", "innovationCreativity" : "Innovative organization", "problemSolvingSkills" : "Analytical; Strategic", "qualificationsBasic" : "3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python", "qualificationsPreferred" : "Experience with AWS solutions, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Support is one of the largest and fastest growing business units within AWS. We are a highly technical, innovative organization revolutionizing the customer engagement processes and offers topnotch technical support for the portfolio of products and features of AWS. We are comitted to redefine the word “Support” and lead the industry with best in class technology. We are looking for an experienced, self-driven, analytical, and strategic Data Engineer. In this role, you will work across a large and complex data lake/warehouse environment. You are passionate about working with disparate datasets in order to bring data together to answer business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with product managers, software development engineers, business intelligence engineers, operation managers and leaders. In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making. In this role, you will have the opportunity to display and develop your skills in the following areas: Interface with PMs, business customers, and software developers to understand requirements and implement solutions Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies providing ad hoc access to large datasets and computing power Explore and learn the latest AWS big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation Key job responsibilities 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. AWS Global Services AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Business Intelligence Engineer, Data Services & Analytics at Amazon.com Services LLC. Skills: Data engineering, Data pipelines, Data analysis. Interface with PMs. Interface with business customers", "postedDate" : "2026-06-13T13:49:26.144", "createdAt" : "2026-06-13T13:49:26.144", "lastUpdated" : "2026-06-15T04:41:55.101", "ingestTimestamp" : "2026-06-13T13:49:26.144", "mongoId" : "68c2e420f8b1b0376634c506", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3076542/apply", "salaryAnnualMin" : 89600, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Data warehousing", "ETL development", "Statistical analysis", "Data visualization", "Python scripting", "Analytical", "Strategic", "Data engineering", "Data pipelines", "ETL pipelines", "Data lake", "Data warehouse", "AWS technologies", "Big data", "Redshift", "Oracle", "NoSQL", "Tableau", "Quicksight", "R", "SAS", "Matlab", "SQL", "Python", "AWS" ], "skillCount" : 27, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 828.6489, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a7c8574d8ee00a0665a27", "title" : "Senior Intelligence Analyst", "company" : "Flashpoint", "industry" : "Intel", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Intelligence Analyst in the Cybersecurity industry in the United States, adjusted for seniority and remote work." }, "location" : "Remote in the United States", "locations" : [ "Remote in the United States" ], "timestamp" : "2026-06-14T07:23:49.481", "fingerprint" : "423a469fa5c43d60176917851ceb543568c4e2036ecafa3fcc1323599a71362c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/flashpoint.io/331cfcba-91b6-4ffe-a4a5-72a6d7b76a6b/application", "externalId" : "331cfcba-91b6-4ffe-a4a5-72a6d7b76a6b", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Threat intelligence", "Risk intelligence", "Collections coverage", "Sourcing strategy" ], "hardSkillsList" : [ "Boolean logic", "Keyword architecture", "Source credibility assessment", "Tradecraft standards" ], "hardSkills" : [ { "name" : "Boolean logic", "level" : "intermediate" }, { "name" : "Keyword architecture", "level" : "intermediate" }, { "name" : "Source credibility assessment", "level" : "intermediate" }, { "name" : "Tradecraft standards", "level" : "intermediate" } ], "majorSkills" : "Threat data, Intelligence analysis, Collections program", "majorSkillsList" : [ "Threat data", "Intelligence analysis", "Collections program" ], "coreResponsibilities" : "Leverage proprietary tools, internal data sources, and external, Synthesize data and enhance analysis/alerting services, Build and refine complex keyword sets and Boolean, Work directly with enterprise client teams, Understand client collection priorities, Translate priorities into actionable sourcing strategies, Collaborate with internal collections, product, and engineering teams, Operationalize new sources at scale, Contribute to documentation and tradecraft standards, Safely navigate virtual environments, Write high-quality tactical and strategic assessments, Inform risk intelligence decision-making process", "teamCollaboration" : "Client teams; Collections teams; Product teams; Engineering teams", "domainKnowledge" : "Illicit online communities; Gray-area online communities; Threat data; Intelligence analysis; Cyber threat intelligence; Vulnerability intelligence; Geopolitical risk; Physical security; Fraud; Brand protection", "domainList" : [ "illicit-online-communities", "gray-area-online-communities", "threat-data", "intelligence-analysis", "cyber-threat-intelligence", "vulnerability-intelligence", "geopolitical-risk", "physical-security", "fraud", "brand-protection" ], "domainSpecificKnowledge" : [ "Illicit online communities", "Gray-area online communities", "Threat data", "Intelligence analysis", "Cyber threat intelligence", "Vulnerability intelligence", "Geopolitical risk", "Physical security", "Fraud", "Brand protection" ], "toolProficiency" : [ "Flashpoint Ignite platform" ], "communicationSkills" : "Written deliverables; Tailor writing", "documentationSkills" : "Documentation; Tradecraft standards", "problemSolvingSkills" : "Finding signal; Hunting for new sources; Identifying gaps; Proposing new coverage areas; Validating new sources", "specialRequirements" : "Remote in the United States", "outcomesObjectives" : "Onboarded at least one new source; Keyword frameworks used or iterated on; Operating as a full contributor; Identified systemic gap in coverage", "qualificationsBasic" : "5+ years experience, Experience with keyword queries, Experience producing written deliverables, Experience working with ambiguous requirements, Experience finding, evaluating, and monitoring sources, Ability to construct complex Boolean or keyword queries, Comfort operating in ambiguous environments, Experience working against external stakeholder requirements", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Flashpoint is the pioneering leader in threat data and intelligence. We empower commercial enterprises and government agencies to decisively confront complex security challenges, reduce risk, and improve operational resilience amid fast-evolving threats. Through the Flashpoint Ignite platform, we deliver unparalleled depth, breadth and speed of data from highly relevant sources, enriched by human insights. Our solutions span cyber threat intelligence, vulnerability intelligence, geopolitical risk, physical security, fraud and brand protection. The result: our customers safeguard critical assets, avoid financial loss, and protect lives. Discover more at flashpoint.io http://flashpoint.io Are you an experienced threat intelligence analyst who gets genuinely excited about finding signal in places others overlook? Flashpoint is looking for a Senior Intelligence Analyst I to join our Corporate Security team in a remote capacity. If you enjoy hunting for new sources across complex online communities, building keyword architecture that actually catches what you're looking for, and contributing to intelligence pipelines that operate at scale, we have a role for you. In this role, you will be a core driver of how Flashpoint expands and refines collections coverage in direct support of enterprise clients. Your work won't sit in a report, it will feed live pipelines used to surface real threats for the organizations that need them most. We have a role for you if, you: - You have navigated illicit online communities, forums, marketplaces, closed channels and understand how they operate, how they shift, and what makes a source valuable versus noisy - You have built complex keyword queries to surface relevant intelligence across large, unstructured datasets - You understand the difference between a high-signal source and a high-volume one, and you know which matters more depending on the use case - You have assessed source credibility and reliability in environments where actors have strong incentives to deceive - You've contributed to or helped expand a collections program, identifying gaps, proposing new coverage areas, and validating that new sources actually deliver - Have experience producing well-researched and concise written deliverables and can tailor writing to a variety of audiences - You have worked with ambiguous requirements and translated them into a concrete sourcing or monitoring strategy What you will get to do on our team: - Leverage our proprietary tools, internal data sources, and external tools to synthesize data and enhance analysis/alerting services for our clients' operational needs. - Build and refine complex keyword sets and Boolean logic to maximize relevant coverage across diverse community types - Work directly with enterprise client teams to understand their collection priorities and translate those into actionable sourcing strategies - Collaborate with internal collections, product, and engineering teams to operationalize new sources at scale - Contribute to documentation and tradecraft standards that help the broader team replicate your sourcing methods - Safely navigate virtual environments for supporting assigned tasks, as applicable. - Write high-quality tactical and strategic assessments to inform risk intelligence decision-making process What you will achieve: Within 30 days: - You have completed onboarding and have a working understanding of Flashpoint's existing collections infrastructure and source taxonomy - You have met with the client team and can articulate their top collection priorities and current coverage gaps - You have audited a subset of existing sources and delivered an initial assessment of quality and relevance Within 60 days: - You have identified and proposed at least 3–5 net-new source candidates with documented rationale for each - You are independently building and testing keyword sets against live data with minimal guidance - You have begun contributing to the team's sourcing methodology documentation By 90 days: - You have successfully onboarded at least one new source into the active collections pipeline - Your keyword frameworks are being used or iterated on by peers - You are operating as a full contributor on client collection priorities, with a clear backlog of source candidates you own - You have identified at least one systemic gap in current coverage and proposed a plan to address it To be successful in this role, you will need: - Demonstrated experience finding, evaluating, and monitoring sources within illicit or gray-area online communities - The ability to construct complex Boolean or keyword queries that are precise enough to reduce noise without missing critical coverage - Comfort operating in ambiguous environments where source quality isn't obvious and tradecraft judgment matters - Experience working against external stakeholder requirements — understanding what a client actually needs versus what they asked for Why Flashpoint is a Great Place to Work: - Diversity. Flashpoint is committed to fostering, cultivating and preserving a culture of diversity, inclusion, belonging, and equity. We recognize that diversity is key to achieving our vision. We believe that every person and their experiences contribute to building a work environment and products and services that will change the world. - Culture and Belonging. Our company’s culture isn’t something you join, it’s something you build and shape, and each person's unique backgrounds and experiences contribute to who Flashpoint is and will become. You will have ample opportunities to connect with coworkers through various communication channels and company-funded virtual events: book clubs, happy hours, committees, DIBE discussion group, Donut mixers, local team member meetups and much more. - Perks. Flashpoint understands that personal wellness is one of the keys to a happy, healthy and productive work environment. That’s why we also prioritize health and wellness perks like gym reimbursements, expensed lunches, cool cultural initiatives and inclusive employee events. - Career Growth. Flashpoint is invested in the growth of our team members and understands that frequent, two-way feedback is critical to that growth. We encourage regular one-on-ones with your manager, a regular schedule of performance reviews, learning and development opportunities, and guidance through formalized career paths; whether that be towards being a great manager, being a great individual contributor, or a lateral move to gain breadth of knowledge and experience. Are you unsure if this role suits you or not? Unsure about the timing? Interested in future opportunities? Stay connected by joining our Talent Network https://jobs.ashbyhq.com/flashpoint.io/form/talent-network. By doing so, you'll stay updated with Flashpoint news and upcoming career opportunities. Even if you're not ready to apply now, being part of our Talent Network ensures you won't miss out on exciting opportunities in the future.", "summaryDescription" : "Senior Intelligence Analyst at Flashpoint. Skills: Threat data, Intelligence analysis, Collections program. Leverage proprietary tools, internal data sources, and external. Synthesize data and enhance analysis/alerting services", "postedDate" : "2026-06-11T17:41:54.163", "createdAt" : "2026-06-11T17:41:54.163", "lastUpdated" : "2026-06-14T07:23:49.481", "ingestTimestamp" : "2026-06-11T17:41:54.163", "mongoId" : "6a2a7c8574d8ee00a0665a27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Boolean logic", "Keyword architecture", "Source credibility assessment", "Tradecraft standards", "Threat data", "Intelligence analysis", "Collections program", "Threat intelligence", "Risk intelligence", "Collections coverage", "Sourcing strategy", "Illicit online communities", "Gray-area online communities", "Cyber threat intelligence", "Vulnerability intelligence", "Geopolitical risk", "Physical security", "Fraud", "Brand protection", "Flashpoint Ignite platform" ], "skillCount" : 20, "jobCategory" : "other", "jobSubcategory" : "intel", "dataQualityScore" : 1.0, "_score" : 828.4542, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2aa66d74d8ee00a06b90fb", "title" : "Junior Intelligence Analyst", "company" : "Barbaricum", "industry" : "Government Contracting", "salary" : { "min" : 65000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Intelligence Analyst in Washington, DC, adjusted for the government industry and entry-level experience." }, "location" : "Washington, DC", "locations" : [ "Washington", "DC" ], "timestamp" : "2026-06-14T22:13:05.190", "fingerprint" : "2497efbc135937a1c44087a730e37fe07affc36a8f3ec6035759a1bea082eb59", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/barbaricum/jobs/5110723008", "externalId" : "5110723008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Washington", "state" : "District of Columbia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8950982,-77.0363849" } ], "locationText" : "Washington, District of Columbia, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 3, "experienceLevel" : "Entry", "professionalSkills" : [ "Intelligence analysis", "WMD threat analysis", "Homeland security" ], "hardSkillsList" : [ "Intelligence tradecraft", "Structured analytic techniques" ], "hardSkills" : [ { "name" : "Intelligence tradecraft", "level" : "intermediate" }, { "name" : "Structured analytic techniques", "level" : "intermediate" } ], "majorSkills" : "Intelligence analysis, WMD threat analysis", "majorSkillsList" : [ "Intelligence analysis", "WMD threat analysis" ], "coreResponsibilities" : "Conduct in-depth analysis of WMD and CBRN-related threats, Support homeland security missions, Contribute to analytic products, Produce written reports, Produce briefings, Produce presentations for DHS leadership, Produce presentations for partner organizations, Support the identification of WMD homeland threats, Support the assessment of WMD homeland threats, Support the understanding of WMD homeland threats, Assist in developing recommendations to mitigate threats, Assist in developing recommendations to disrupt threats, Serve as a contributing author on analytic products, Serve as a primary author on analytic products, Support coordination efforts with DHS Components, Support collaboration efforts with DHS Components, Support coordination efforts with U. S. Government partners, Support collaboration efforts with U. S. Government partners, Support coordination efforts with Intelligence Community partners, Support collaboration efforts with Intelligence Community partners, Apply structured analytic techniques, Apply intelligence tradecraft", "teamCollaboration" : "Team-based analytic environment; DHS Components; U. S. Government; Intelligence Community partners", "domainKnowledge" : "WMD threats; CBRN threats; Homeland security missions", "domainList" : [ "wmd-threats", "cbrn-threats", "homeland-security-missions" ], "domainSpecificKnowledge" : [ "WMD threats", "CBRN threats", "Homeland security missions" ], "communicationSkills" : "Written communication; Verbal communication; Analytic product reporting", "documentationSkills" : "Written analytic products", "problemSolvingSkills" : "Analytic techniques", "specialRequirements" : "Active DoD TS/CI Clearance", "qualificationsBasic" : "Active DoD TS/CI Clearance, Bachelor's degree in a relevant field, Up to 3 years of experience in intelligence analysis, Foundational understanding of intelligence analysis principles, Foundational understanding of intelligence analysis processes, Foundational understanding of intelligence analysis reporting, Written communication skills, Verbal communication skills, Ability to work collaboratively in a team-based analytic environment", "qualificationsPreferred" : "Previous experience supporting CBRN or WMD-related intelligence analysis, Familiarity with intelligence systems, Familiarity with intelligence tools, Familiarity with law enforcement intelligence environments, Experience producing written analytic products for government or operational customers", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent. Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team. Barbaricum seeks a Junior Intelligence Analyst to provide analytic support to a DHS customer. Analysts will support the Countering Weapons of Mass Destruction (CWMD) Office of Information Analysis Directorate and Strategy, Plans, and Policy Directorate with the mission of enhancing the Department’s ability to prevent terrorists and other threat actors from using weapons of mass destruction. The CWMD Office is responsible for coordinating federal efforts and developing strategy and policy to plan for, detect, and protect against the importation, possession, development, or use of unauthorized chemical, biological, radiological, or nuclear (CBRN) materials, devices, or agents in the United States. The Role: The Junior Intelligence Analyst supports WMD threat analysis and production efforts under the guidance of senior analysts. This role contributes to the development of analytic products that inform DHS leadership, DHS Components, and federal, state, and local homeland security partners on emerging and evolving WMD threats and mitigation strategies. Responsibilities: Conduct in-depth analysis of WMD and CBRN-related threats to support homeland security missions Contribute to analytic products including written reports, briefings, and presentations for DHS leadership and partner organizations Support the identification, assessment, and understanding of WMD homeland threats and assist in developing recommendations to mitigate and disrupt those threats Serve as a contributing or primary author on select analytic products and projects, commensurate with experience level Support coordination and collaboration efforts with DHS Components and other U. S. Government and Intelligence Community partners at the analyst level Apply structured analytic techniques and intelligence tradecraft in support of mission requirements Required Qualifications: Active DoD TS/CI Clearance Bachelor’s degree (BA/BS) in a relevant field (e.g., Intelligence Studies, International Relations, Political Science, Security Studies, or related discipline) Up to 3 years of experience in intelligence analysis or a related analytical field Foundational understanding of intelligence analysis principles, processes, and reporting Strong written and verbal communication skills Ability to work collaboratively in a team-based analytic environment Desired Qualifications: Previous experience supporting CBRN or WMD-related intelligence analysis Familiarity with intelligence systems, tools, or law enforcement intelligence environments Experience producing written analytic products for government or operational customers EEO Commitment All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.", "summaryDescription" : "Junior Intelligence Analyst at Barbaricum. Skills: Intelligence analysis, WMD threat analysis. Conduct in-depth analysis of WMD and CBRN-related threats. Support homeland security missions", "postedDate" : "2026-06-11T20:07:15.879", "createdAt" : "2026-06-11T20:07:15.879", "lastUpdated" : "2026-06-14T22:13:05.190", "ingestTimestamp" : "2026-06-11T20:07:15.879", "mongoId" : "6a2aa66d74d8ee00a06b90fb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 85000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Intelligence tradecraft", "Structured analytic techniques", "Intelligence analysis", "WMD threat analysis", "Homeland security", "WMD threats", "CBRN threats", "Homeland security missions" ], "skillCount" : 8, "jobCategory" : "customer-service", "jobSubcategory" : "mission-support", "dataQualityScore" : 0.8888889, "_score" : 824.68243, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government Contracting" }, { "id" : "6a2a741874d8ee00a0652a5f", "title" : "Intelligence Analyst (OSINT)", "company" : "Concentric", "salary" : { "min" : 82000.0, "max" : 85000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Kirkland, Washington, United States", "locations" : [ "Kirkland", "Washington", "United States" ], "timestamp" : "2026-06-14T07:50:59.971", "fingerprint" : "b9be8ad411a0f4b6663ee46da6edf99141b72ebffe97e498fc1b110950d3072e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/concentric/jobs/4686332006", "externalId" : "4686332006", "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "AI", "professionalSkills" : [ "Risk analysis", "Threat management", "Executive protection", "Security operations", "Business resiliency", "Risk assessment", "Threat intelligence", "Open-source monitoring", "Program audits", "Strategic advisory", "Geopolitical conflict analysis", "Terrorism analysis", "Civil unrest analysis", "Crime analysis", "Environmental hazard analysis", "Data analysis" ], "hardSkillsList" : [ "Open-source investigations", "Data interpretation", "Written assessments", "Oral briefings", "Deep-dive analyses", "Investigative assessments", "Information collection", "Reporting" ], "softSkillsList" : [ "Attention to detail" ], "hardSkills" : [ { "name" : "Open-source investigations", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Written assessments", "level" : "intermediate" }, { "name" : "Oral briefings", "level" : "intermediate" }, { "name" : "Deep-dive analyses", "level" : "intermediate" }, { "name" : "Investigative assessments", "level" : "intermediate" }, { "name" : "Information collection", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to detail" } ], "majorSkills" : "Open-source intelligence, Threat assessment, Risk mitigation, Data analysis", "majorSkillsList" : [ "Open-source intelligence", "Threat assessment", "Risk mitigation", "Data analysis" ], "coreResponsibilities" : "Conduct open-source investigations, Assess potential threats, Mitigate identified risks, Multitask effectively, Provide deep-dive analysis, Collect complex data, Analyze complex data, Interpret complex data, Conduct strategic research, Conduct investigative research, Develop analysis from data, Identify relevant threats, Analyze sensitive developments, Analyze trends, Provide written assessments, Provide oral briefings, Address security implications, Produce strategic analyses, Produce tactical assessments, Identify gaps in analysis, Develop new solutions, Develop new methodologies, Develop new products, Improve information collection, Improve reporting, Create maps, Create visuals, Create tools, Perform quick-turn investigations, Perform deep-dive investigations, Perform monitoring, Support business continuity teams, Support crisis management teams, Support security management teams, Travel to support events", "teamCollaboration" : "Embedded with client", "domainKnowledge" : "Geopolitical conflict; Terrorism; Civil unrest; Crime; Environmental hazards; Risk management; Intelligence analysis", "domainList" : [ "geopolitical-conflict", "terrorism", "civil-unrest", "crime", "environmental-hazards", "risk-management", "intelligence-analysis" ], "domainSpecificKnowledge" : [ "Geopolitical conflict", "Terrorism", "Civil unrest", "Crime", "Environmental hazards", "Risk management", "Intelligence analysis" ], "communicationSkills" : "Written communication; Oral communication; Synthesize information; Assess information", "documentationSkills" : "Report writing", "continuousLearning" : "Professional development; Coaching; Mentoring", "innovationCreativity" : "Develop new solutions; Develop new methodologies; Develop new products", "problemSolvingSkills" : "Analytical techniques; Data-driven analysis", "specialRequirements" : "10% travel, Work onsite full-time", "qualificationsBasic" : "Bachelor's degree, 2+ years analytical experience, Experience with open-source research, Experience in intelligence disciplines, Experience with confidential information, Completing multiple tasks simultaneously, Functioning with minimal supervision", "qualificationsPreferred" : "3+ years intelligence/analytical experience, Geopolitics experience preferred, Criminal justice experience preferred, Security experience preferred, International business experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in joining an organization with a global reach? In a world of shifting threats, Concentric is your trusted ally. Powered by elite professionals from military, government, and intelligence backgrounds. If you are passionate about intelligence, risk analysis, threat management, executive protection, security operations, or business resiliency, Concentric may be the organization you’ve been searching for! Concentric is a risk consultancy specializing in delivering strategic security and intelligence services. We provide holistic, intelligent security solutions for private clients and corporations globally. Concentric offers strategic advisory services, risk assessments, physical protection, threat intelligence, open-source monitoring, program audits, secure embedded staffing, and training for security teams and intelligence analysts. Our ultimate goal is to be recognized as the most innovative, capable, and trusted Risk Management partner in the world, and we do this by following these core values: Integrity – Collaboration - Relationships – Excellence – Creativity - Results Join Us, Concentric - \"Your World Secured\" We are currently looking to hire an Intelligence Analyst (OSINT) to join our team embedded with our client in Seattle! This position requires working onsite full-time at our client's Headquarters in Seattle, WA. JOB DESCRIPTION This position requires rapid open-source (OSINT) investigations and assessments to identify potential threats and mitigate identified risks to corporate sites, travelers, events, and other assets in the Americas. The successful candidate will demonstrate the ability to multitask and provide deep-dive analysis on taskings pertaining to security concerns, including on topics such as geopolitical conflict, terrorism, civil unrest, crime, and environmental hazards. Our ideal candidate will demonstrate an ability to work independently, review, and assess large data sets, produce well-organized and clearly written products, and prioritize multiple requests in a fast-paced and challenging environment that requires significant attention to detail. RESPONSIBILITIES Collect, analyze, and interpret complex data with a strong understanding and application of analytical techniques. This includes conducting open-source strategic geopolitical and tactical/investigative research to develop analysis derived from large data sets. Proactively identify and analyze relevant threats, sensitive developments, and trends to provide written assessments and oral briefings addressing imminent and long-term security implications for the business throughout the Americas. Produce written strategic deep-dive analyses and tactical/investigative assessments in a cohesive, concise, and visually appealing format to serve customers across business lines who have an interest across threat vectors. Identify gaps in current analysis and develop new solutions, methodologies, and products, including using AI, to help improve information collection and reporting, especially as it pertains to data-driven analysis. This also includes the creation of maps or other visuals and tools to support the team’s products. Perform thorough quick-turn and deep-dive open-source investigations and monitoring. Support business continuity, crisis, and security management teams, including, as needed, outside typical work hours during security incidents and emerging crises. Travel to support global events, if needed. Conform to and abide by all regulations, policies, work procedures, and instructions. REQUIRED QUALIFICATIONS Must be able to legally work in the country where this position is located without visa sponsorship. Bachelor’s degree (business, international relations, or security-related) 2+ years of experience working in an analytical or intelligence role Experience with open-source research, investigation techniques, analysis, and report writing Experience in intelligence, investigative, incident management, or related disciplines Excellent oral and written communication skills; ability to succinctly synthesize and assess information Experience working with highly confidential information Experience completing multiple tasks simultaneously and functioning with minimal supervision This position requires up to 10% travel. PREFERRED QUALIFICATIONS 3+ years’ experience working in an intelligence and/or analytical role; experience with geopolitics, criminal justice, security, or international business preferred Proficient in multiple languages COMPENSATION & BENEFITS The HSA medical plan covers 100% of the premium for employee-only coverage. The PPO medical plan requires an employee contribution for employee-only coverage. For both plans, Concentric covers a substantial portion of the premium for dependents. Concentric also offers an HSA employer contribution Medical FSA Employer-paid insurance: life, STD, LTD, and AD&D 401 (k) including employer match 7 paid holidays Paid leave (vacation, sick, parental) Annual Health & Wellness Benefit Pet Insurance National discount employee program Employee Assistance Program for personal needs Credentity Protection - Eclipse Digital Protection by Concentric Free access to our Risk Intelligence Dashboard and GEAR App. Providing 24/7 access to trusted risk intelligence and remote support, helping you stay informed, prepared, and protected wherever you operate. Dedicated Security and Intelligence Training Programs for Professional Development Coaching and Mentoring Opportunities Seattle, Washington Pay Range $82,000—$85,000 USD Concentric and SPS Global acknowledge the systemic barriers in the security industry and recognize that removing those barriers will require a collaborative and conscious effort. Concentric and SPS Global are committed to programs and initiatives that promote diversity, equity, and inclusion, enhancing our organization and the broader community. We are creating a diverse environment and are proud to be an equal opportunity employer. We encourage people from all backgrounds to apply. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.  Concentric Advisors and SPS Global are committed to protecting the privacy and security of all applicants who submit personal information to us. You can access our GDPR and CCPA policy by clicking the GDPR button at the bottom of our career page.", "summaryDescription" : "Intelligence Analyst (OSINT) at Concentric. Skills: Open-source intelligence, Threat assessment, Risk mitigation, Data analysis. Conduct open-source investigations. Assess potential threats", "postedDate" : "2026-06-11T18:55:26.803", "createdAt" : "2026-06-11T18:55:26.803", "lastUpdated" : "2026-06-14T07:50:59.971", "ingestTimestamp" : "2026-06-11T18:55:26.803", "mongoId" : "6a2a741874d8ee00a0652a5f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 82000, "salaryAnnualMax" : 85000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Open-source investigations", "Data interpretation", "Written assessments", "Oral briefings", "Deep-dive analyses", "Investigative assessments", "Information collection", "Reporting", "Attention to detail", "Open-source intelligence", "Threat assessment", "Risk mitigation", "Data analysis", "Risk analysis", "Threat management", "Executive protection", "Security operations", "Business resiliency", "Risk assessment", "Threat intelligence", "Open-source monitoring", "Program audits", "Strategic advisory", "Geopolitical conflict analysis", "Terrorism analysis", "Civil unrest analysis", "Crime analysis", "Environmental hazard analysis", "Geopolitical conflict", "Terrorism", "Civil unrest", "Crime", "Environmental hazards", "Risk management", "Intelligence analysis" ], "skillCount" : 35, "jobCategory" : "other", "jobSubcategory" : "embedded-intel", "dataQualityScore" : 0.8888889, "_score" : 823.7422, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2c9b0e74d8ee00a099863e", "title" : "Business Intelligence Analyst", "company" : "Cermati.com", "industry" : "Internet", "location" : "Jakarta, Jakarta, ID", "locations" : [ "Jakarta", "Jakarta", "ID" ], "timestamp" : "2026-06-15T09:44:02.901", "fingerprint" : "895ce87d30b8e566dc814bb48eccd9dfdfe6e81e0bd0854fcfbfa23e28a6a51e", "source" : "smartrecruiters", "applyUrl" : "https://jobs.smartrecruiters.com/Cermaticom/744000131372419-business-intelligence-analyst", "externalId" : "744000131372419", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jakarta", "state" : "Jakarta", "country" : "Indonesia", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Jakarta, Jakarta, Indonesia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "SQL, Python, R, Java, Javascript, BigQuery ML", "hardSkillsList" : [ "SQL", "advanced DB queries", "Python", "R", "Java", "Javascript", "BigQuery ML" ], "softSkillsList" : [ "communication" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" }, { "name" : "advanced DB queries", "level" : "intermediate" }, { "name" : "Python", "level" : "intermediate" }, { "name" : "R", "level" : "intermediate" }, { "name" : "Java", "level" : "intermediate" }, { "name" : "Javascript", "level" : "intermediate" }, { "name" : "BigQuery ML", "level" : "intermediate" } ], "softSkills" : [ { "name" : "communication" } ], "majorSkills" : "SQL, data analysis, data visualization, Python, R", "majorSkillsList" : [ "SQL, data analysis, data visualization, Python, R" ], "coreResponsibilities" : "Interpreting data, analyzing results using query and statistical techniques. Creating data querying, transformation, and visualization processes. Developing analytical reports and representing complex data through visual representation. Presenting information to drive fact-based decision making. Proposing business process improvement opportunities based on data. Working with management to prioritize business and information needs.", "toolProficiency" : [ "Excel, SQL, BigQuery, Python, R, Jupyter, Hive" ], "communicationSkills" : "written; verbal", "problemSolvingSkills" : "data analysis; data querying; data transformation; business process improvement", "outcomesObjectives" : "Drive fact based decision making. Drive business impact through business process improvement.", "qualificationsBasic" : "Bachelor or Master degree in Information System, Computer Science, Math, Statistics or related field. Expert in SQL, with the ability to write advanced DB queries. Ability to quickly disseminate data to find key trends and dive deep into data. Comfortable working with large datasets and creating complex visualizations in a live dashboard environment. Excellent written and verbal communication skills. Ability to work well and deliver under pressure.", "qualificationsPreferred" : "Ability to use Python/R/Java/Javascript is desirable. Experience working with analytical tools (Jupyter, Python, Hive, BigQuery ML) is a plus.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "* Interpreting data, analyzing results using query, data statistical techniques. * Create robust, reusable data querying, transformation, and visualization processes using tools such as Excel, SQL, Big Query, Python, R and other big data tools. * Develop analytical reports and represent large, complex sets of data through visual representation. * Present information in a way that drives fact based decision making. * Propose and define new business process improvement opportunities based on the data to drive business impact. * Work with management to prioritize business and information needs. ## Qualifications * Having bachelor degree or master degree in Information System, Computer Science, Math, Statistics or related field. * Expert in SQL, have the ability to write advanced DB queries (able to use Python/R/Java/Javascript is desirable). * Ability to quickly disseminate data to find key trends, as well as the ability to dive deep and mine the data behind these. * Comfortable working with datasets containing millions of rows and creating complex visualizations from raw data in a live dashboard environment. * Excellent written and verbal communication skills. * Experience working with analytical tools (Jupyter, Python, Hive, BigQuery ML) is a plus * Ability to work well and deliver under pressure", "summaryDescription" : "Business Intelligence Analyst at Cermati.com. Skills: SQL, data analysis, data visualization, Python, R. Interpreting data, analyzing results using query and statistical techniques. Creating data querying, transformation, and visualization processes. Developing analytical reports and representing complex data through visual representation. Presenting information to drive fact-based decision making. Proposing business process improvement opportunities based on data. 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ML frameworks; BI platforms; Data modelling; Regression; Classification; Clustering; Time-series analysis; A/B testing; Causal inference; AWS services; GCP services; Azure services", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "data-modelling", "regression", "classification", "clustering", "time-series-analysis", "a-b-testing", "causal-inference", "aws-services", "gcp-services", "azure-services" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Data modelling", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake", "rawDescription" : "ASSYST is seeking an experienced Senior Systems Analyst – Reporting & EDI Analytics to support our client by designing, developing and maintaining complex reports, dashboards, data extracts and analytical solutions. This role is responsible for transforming business and operational data into actionable insights while supporting Electronic Data Interchange (EDI) analysis and data validation activities. The ideal candidate will have strong expertise in SQL, reporting tools, data analysis, dashboard development and healthcare-related data environments. Roles & Responsibilities: Design, develop, implement and maintain complex operational and federally mandated reports. Analyze reporting requirements and identify effective approaches for report generation, dashboard development and data extraction solutions. Develop complex SQL queries, stored procedures and data extraction processes using PostgreSQL and other database platforms. Create interactive reports and dashboards using Tableau, Power BI, or equivalent reporting tools. Identify opportunities to securely share and distribute data across internal and external stakeholders. Perform data analysis and interpretation to support management decision-making, policy development and operational reviews. Evaluate data quality and system functionality using database applications and analytical tools. Analyze business processes and translate reporting requirements into data-driven solutions, reports and dashboards. Collaborate with cross-functional teams in a fast-paced environment to deliver reporting and analytical solutions. Perform Medicaid 8001 Flat File validation and analysis. Review Member Person Index (MPI) records for SSN matching and Master Data Management (MDM) validation. Conduct HBX system error analysis, validate 1095-A and 1095-B files and reconcile Medicaid 8001 transactions. Support development, testing and EDI operations teams by analyzing, troubleshooting, testing and transmitting EDI files on a daily basis. Create data change requests to resolve consumer-reported and system-generated errors. Coordinate with technical and business teams to analyze error reports and perform root cause analysis for transaction rejections. Access and analyze application and database data to identify and resolve system issues. Ensure compliance with all security, change management, project governance and operational procedures. Required Skills & Qualifications: Required Experience: Minimum 5 years of experience in data extraction, data analysis, report generation and dashboard development. Minimum 5 years of experience developing complex SQL queries, stored procedures and custom reports within large-scale IT environments. Minimum 5 years of experience developing reports and dashboards using Tableau, Power BI, or similar reporting platforms. Minimum 2 years of experience translating business requirements into meaningful dashboards and data visualizations. Experience designing, implementing and maintaining reporting databases and data warehouses. Strong understanding of data modeling, data warehousing and ETL processes. Excellent analytical, problem-solving, communication and stakeholder management skills. Ability to manage multiple priorities and deliver results within tight deadlines. Preferred Qualifications: 8+ years of hands-on experience designing and developing complex SQL queries, stored procedures and reporting solutions. 4+ years of experience working with PostgreSQL databases for reporting and4+ years of experience developing advanced Tableau dashboards and analytical reports.. Extensive knowledge of data sources, data flow, system integrations and advanced reporting methodologies. Experience supporting health insurance marketplaces, healthcare organizations, or Health and Human Services programs. Hands-on experience with data visualization, report automation and advanced data analytics. Familiarity with web technologies such as HTML, CSS and JavaScript. Experience with programming languages such as Python, Java, or equivalent technologies. Knowledge of EDI transaction sets including 834, 820 and 999. Understanding of Medicaid and Qualified Health Plan (QHP) eligibility processes. Knowledge of EDI 834 enrollment transactions, including Adds, Terminations, Cancellations and Life Event processing. ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.", "summaryDescription" : "Senior Systems Analyst – Reporting & EDI Analytics at ASSYST, Inc.. Skills: Data science, Data engineering, Machine learning, Business intelligence", "postedDate" : "2026-06-14T18:34:38.882", "createdAt" : "2026-06-14T18:34:38.882", "lastUpdated" : "2026-06-16T06:05:35.317", "ingestTimestamp" : "2026-06-14T18:34:38.882", "mongoId" : "6a2c941a74d8ee00a0989afc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Data modelling", "Data science", "Data engineering", "Business intelligence", "ML engineering", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "AWS services", "GCP services", "Azure services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 56, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 821.4758, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0de91258b93c861eb99059", "title" : "Financial Analyst Senior - Decision Support Services", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Senior Financial Analyst in Tampa, United States, adjusted for the healthcare industry and onsite work mode." }, "location" : "United States-Florida-Tampa", "locations" : [ "United States-Florida-Tampa", "
TGH Corporate Center (TGHCORPCTR)
606 W Kennedy Blvd

Tampa, 33606

" ], "timestamp" : "2026-06-15T09:59:14.641", "fingerprint" : "5ce20a27fb17ee0f692b1bf9589ff6be61ec7a5a039241696fe2c4e6f34b439e", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-tgh.taleo.net/careersection/ex/jobdetail.ftl?job=678671", "externalId" : "678671", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Decision support systems, ERP systems", "professionalSkills" : [ "Financial analysis", "Decision support", "Healthcare analytics", "Financial planning", "Forecasting", "Strategic initiatives", "Data analysis", "Budget development", "Performance analysis", "Cost analysis", "Margin analysis", "Productivity analysis", "Trend analysis" ], "hardSkillsList" : [ "Financial modeling", "Data synthesis", "Data validation", "Variance analysis" ], "softSkillsList" : [ "Mentorship" ], "hardSkills" : [ { "name" : "Financial modeling", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Variance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentorship" } ], "majorSkills" : "Financial analysis, Decision support, Healthcare finance", "majorSkillsList" : [ "Financial analysis", "Decision support", "Healthcare finance" ], "coreResponsibilities" : "Lead financial analyses, Lead operational analyses, Provide analytical support, Support financial planning, Support forecasting, Support strategic initiatives, Translate data into insights, Create enterprise datasets, Manage enterprise datasets, Validate enterprise datasets, Synthesize data from systems, Develop system-level reports, Develop dashboards, Develop analyses, Analyze budget-to-actual variances, Analyze performance variances, Identify key drivers, Communicate implications to leadership, Act as data steward, Support standard definitions, Support data quality, Support reporting consistency, Promote continuous improvement, Identify process enhancements, Identify automation opportunities, Identify reporting efficiency opportunities, Provide informal mentorship, Support system-level initiatives", "teamCollaboration" : "Executive stakeholders; Cross functional teams; Finance leadership; Operational leaders; Clinical stakeholders", "domainKnowledge" : "Healthcare finance; Enterprise data structures; Multi-entity healthcare", "domainList" : [ "healthcare-finance", "enterprise-data-structures", "multi-entity-healthcare" ], "domainSpecificKnowledge" : [ "Healthcare finance", "Enterprise data structures", "Multi-entity healthcare" ], "toolProficiency" : [ "Strata", "PeopleSoft" ], "communicationSkills" : "Executive presentations; System-level reporting", "problemSolvingSkills" : "Actionable insights", "outcomesObjectives" : "Support financial sustainability; Support operational performance; Support long-term strategy", "qualificationsBasic" : "Bachelor's Degree in Business, 5 years financial analysis, 5 years decision support, 5 years healthcare analytics, Experience in health system, Experience in multi-entity healthcare, Experience with decision support systems, Experience with ERP systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Financial Analyst Sr provides advanced, system level financial and decision support analytics to enterprise finance leadership, executive stakeholders, and cross functional teams. This role focuses on enterprise performance, standardization, and strategic decision-making across the health system. Applies advanced knowledge of healthcare finance, decision support systems, and enterprise data structures to translate complex, multi-entity information into actionable insights that support financial sustainability, operational performance, and long-term system strategy. Essential Functions: Lead and deliver system‑level financial and operational analyses, including service line performance, productivity, cost, margin, and volume trends across hospitals and entities. Provide advanced analytical support for departmental and service line budget development, including modeling assumptions, validating inputs, and ensuring consistency across the system. Support enterprise financial planning, forecasting, and strategic initiatives through integrated financial and operational analytics. Partner with Finance leadership, operational leaders, and clinical stakeholders to translate complex data into actionable insights and recommendations. Create, manage, and validate enterprise‑level datasets, synthesizing data from multiple financial and operational systems. Develop and present system‑level reports, dashboards, and analyses for executive and governance audiences. Analyze budget‑to‑actual and performance variances, identify key drivers, and communicate implications to leadership. Act as a steward of enterprise financial and operational metrics, supporting standard definitions, data quality, and reporting consistency. Promote continuous improvement by identifying opportunities to enhance decision support processes, automation, and reporting efficiency. Provide informal mentorship to Financial Analyst Accountant(s) and support other system-level initiatives as assigned. Bachelor's Degree in Business, Finance, Healthcare Administration, and/or other related field. 5 years of progressive experience in financial analysis, decision support, or healthcare analytics. Experience in a health system or multi-entity healthcare environment. Experience with decision support and ERP systems (e.g., Strata, PeopleSoft or comparable platforms). Tampa", "summaryDescription" : "Financial Analyst Senior - Decision Support Services. Skills: Financial analysis, Decision support, Healthcare finance. Lead financial analyses. Lead operational analyses", "createdAt" : "2026-06-14T08:38:35.056", "lastUpdated" : "2026-06-15T09:59:14.641", "ingestTimestamp" : "2026-06-14T08:38:35.056", "mongoId" : "6a0de91258b93c861eb99059", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial modeling", "Data synthesis", "Data validation", "Variance analysis", "Mentorship", "Financial analysis", "Decision support", "Healthcare finance", "Healthcare analytics", "Financial planning", "Forecasting", "Strategic initiatives", "Data analysis", "Budget development", "Performance analysis", "Cost analysis", "Margin analysis", "Productivity analysis", "Trend analysis", "Enterprise data structures", "Multi-entity healthcare", "Strata", "PeopleSoft" ], "skillCount" : 23, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 819.9744, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 30393, "totalPages" : 608, "hasNext" : true, "hasPrevious" : false } }

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